Cited by 283Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningData Visualization and Analytics

Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation

Open access
Sedrakyan, Gayane, Malmberg, Jonna, Verbert, Katrien, Järvelä, Sanna, Kirschner, Paul A.·2020·Computers in Human Behavior

Abstract

Abstract Technological advancements have generated a strong interest in exploring learner behavior data through learning analytics to provide both learner and instructor with process-oriented feedback in the form of dashboards. However, little is known about the typology of dashboard feedback relevant for different learning goals, learners and teachers. While most dashboards and the feedback that they give are based only on learner performance indicators, research shows that effective feedback needs also to be grounded in the regulatory mechanisms underlying learning processes and an awareness of the learner's learning goals. The design artefact presented in this article uses a conceptual model that visualizes the relationships between dashboard design and the learning sciences to provide cognitive and behavioral process-oriented feedback to learners and teachers to support regulation of learning. A practical case example is given that demonstrates how the ideas presented in the paper can be deployed in the context of a learning dashboard. The case example uses several analytics/visualization techniques based on empirical evidence from earlier research that successfully tested these techniques in various learning contexts.

AI snapshot

Written from the paper’s full text.

TL;DR

The paper proposes a conceptual model that links learning analytics dashboard (LAD) feedback to learning-science concepts—regulation of learning, feedback typology, goal orientation, and effectiveness/efficiency—to provide process-oriented cognitive and behavioral feedback to learners and teachers. It illustrates the model with dashboard case examples using visualization and process analytics, but does not empirically evaluate the model.

Key findings

  • Most existing LADs rely on performance/outcome indicators and lack theoretical grounding in the learning sciences; the paper argues effective feedback must account for regulatory mechanisms, learning goals, and goal orientations (mastery, performance, approach/avoidance).
  • The proposed model distinguishes cognitive feedback (corrective, epistemic, suggestive) from behavioral feedback, and links them to self-regulated and co-regulated learning phases: planning, monitoring, and adaptation.
  • It recommends using task-specific subgoals (TSSGs), backward instructional design, resource/time utility, and effectiveness/efficiency indicators to determine feedback type and timing, and to complement statistical/data-mining approaches with process analytics.
  • Case examples illustrate the model: a planning example requires 60% performance for topic C, four web lectures, two homework assignments, and expected time ≤5 hours; a monitoring example shows trial 5 result 80% vs required 90% (failed) with hints; an adaptation example reports result = 100%, 5 trials, 8 corrections, score = 10, ineffective time utility (3.5 h, 5.2 h, 0.5 h); a group example notes communication score 5/20 and initiative/attendance rated on average 10/20. These are illustrative, not empirical findings.

Methods

  • Design Science in Information Systems research, using conceptual modeling; the paper focuses on the first two design-science principles: designing a purposeful artifact and establishing relevance.
  • No new empirical sample or outcome study is reported; the conceptual model is derived from a review of LAD studies, feedback research, self-regulated/co-regulated learning, goal orientation, and effectiveness/efficiency concepts.
  • Case examples use analytics/visualization techniques based on earlier empirical research; one group-interactivity example was piloted by analysis of data from the authors’ experiment at LeaForum using WeSpot activity logs.

Limitations

  • Stated: implementation mechanisms (e.g., prototype design), evaluation, and expansion of the design are left as further research; the case examples are not exhaustive, do not provide technical implementation detail, and do not test which visualization techniques work better.
  • Stated: detailed mechanisms for user intervention in feedback remain challenging.
  • Evident: the conceptual model is not empirically validated in this paper; there is no participant sample, outcome measure, or formal evaluation of the proposed dashboard feedback.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.chb.2018.05.004

Cites

89 of 89 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 58 cited sources checked · 0 supported · 0 flagged

  • Premisecitation

    Common to all feedback LADs presented in the literature on dashboards is the lack of theoretical support grounded in the learning sciences and research on feedback and underlying mechanisms of learning processes.

    “Common to all feedback LADs presented in the literature on dashboards is the lack of theoretical support grounded in the learning sciences (Sedrakyan, Järvelä & Kirschner, 2016) and research on feedback and underlying mechanisms of learning processes.”
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    • cites Sedrakyan, Järvelä & Kirschner, 2016

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  • Premisecitation

    The sooner students receive feedback on what they have done, the more effective it is for their learning.

    “Research has shown that the sooner students receive feedback on what they have done, the more effective it is for their learning (Irons, 2008).”
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    • cites Irons, 2008

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  • Premisecitation

    Another issue with current tools is finding evidence for their formal validation, such as whether the tools fulfill their intended purpose, including having a positive impact on learning, encouraging more efficient learning, or more effective learning.

    “Another issue with current tools is finding evidence for their formal validation, e.g.whether the tools fulfill their intended purpose, such as having a positive impact on learning; encouraging more efficient learning; or more effective learning (Ferguson et al., 2016), which suggests that LADs should consider built-in mechanisms to allow tracking effects from such interventions.”
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    • cites Ferguson et al., 2016

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  • Premisecitation

    Goal orientation has been found to affect learning behavior.

    “Goal orientation has been found to affect learning behavior (Stevens & Gist, 1997).”
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    • cites Stevens & Gist, 1997

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  • Premisecitation

    In terms of intended goals, most dashboard studies limit themselves to student performance outcomes through self-reflection, awareness, and self-assessment, positioning learners in comparison with teacher specified and/or peer performance.

    “In terms of the intended goals of dashboards, most studies limit themselves to student performance outcomes through self-reflection, awareness, and self-assessment (Bodily & Verbert, 2017) positioning learners in comparison with teacher specified and/or peer performance.”
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    Findingreasoning

    Group 6 shows a desired (e.g., balanced) interaction according to the goals.

    “According to the goals, Group 6 shows a desired (e.g., balanced) interaction.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Group dynamics and interactivity are to a large extent predictive for the collaborative nature of learning processes.
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    Findingreasoning

    In groups 1-5, there are some problems with collaboration because either not all participants are involved or some participants' activities are limited.

    “For instance, if a teacher specified a balanced interactivity for a task in which a group member should contribute to active discussion on the analysis results, it is obvious from Figure 8 that in groups 1-5, there are some problems with collaboration because either not all participants are involved or some participants' activities are limited.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Group dynamics and interactivity are to a large extent predictive for the collaborative nature of learning processes.
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    Premisecitation

    In the context of feedback research, cognitive and behavioral approaches translate into two major forms: explanations targeted at improving cognitive dimensions of knowledge and guidance to influence a learner's behavior.

    “In the context of feedback research, these approaches translate into two major forms: explanations targeted at improving cognitive dimensions of knowledge (e.g., understanding) and guidance to influence a learner's behavior (e.g., engaging in a specific type of activity believed to be related to a successful learning path; Sedrakyan, 2016).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Sedrakyan, 2016

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    Premisecitation

    Most research on educational dashboards lacks both theoretical support from recent advancements in the learning sciences and an evidence-informed foundation for choosing data to observe and assess learning processes.

    “According to Sawyer (2014), most research on educational dashboards lacks both theoretical support from recent advancements in the learning sciences and an evidenceinformed foundation for choosing the data that can assist in observing and assessing learning processes to identify the feedback needs of learners/teachers.”
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    Premisecitation

    Feedback mechanisms that the environment or peers provide can also be considered as a form of co-regulated learning.

    “Although self-regulation concerns individual adaptation, feedback mechanisms that the environment or peers provide can also be considered as a form of co-regulated learning (Isohätälä, Järvenoja, & Järvelä, 2017).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Isohätälä, Järvenoja, & Järvelä, 2017

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    Premisecitation

    Cognitive feedback aims to improve learners' understanding of intermediate solutions allowing them to engage in self-regulatory learning mechanisms.

    “This type of feedback aims to improve learners' understanding of intermediate solutions allowing them to engage in self-regulatory learning mechanisms (van Merriënboer & Kirschner, 2012).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites van Merriënboer & Kirschner, 2012

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    Premisecitation

    Learner goal orientations and differences in achievement levels need to be carefully considered in the design of any intervention, as the resulting approaches and tools can affect students' interpretations of their data and subsequent academic success.

    “Furthermore, recent studies on the effectiveness of existing dashboards suggest that learner goal orientations (Lonn et al., 2015) and differences in achievement levels (Park & Jo, 2015) need to be carefully considered in the design of any intervention, as the resulting approaches and tools can affect students' interpretations of their data and subsequent academic success.”
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    • cites Park & Jo, 2015

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    Premisecitation

    Self-regulated and strategic learning involves experimenting with, and learning about, effective strategies for regulating aspects of their own, peers', and groups' shared learning processes, including planning, setting goals, organizing, monitoring, and adapting.

    “In practice, self-regulated and strategic learning involves experimenting with, and learning about, effective strategies for regulating aspects of their own, peers', and groups' shared learning processes (Winne, Hadwin, & Perry, 2013), including planning, setting goals, organizing, monitoring, and adapting.”
    Quote in the paperSubstantial claim0 of 1 sources checked
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    Premisecitation

    Learning may be explained by a combination of two basic approaches: cognitive theories and behavioral theories.

    “Even though psychologists and educators are not in complete agreement, most agree that learning may be explained by a combination of two basic approaches: cognitive theories (i.e., cognitivism, which views the learning process as a step-by-step knowledge construction process) and behavioral theories (i.e., behaviorism, in which learning is defined as a change of the behavior of a learner by rein”
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    • cites Tomic, 1993

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    Premisecitation

    Co-regulated learning occurs when learners' regulatory activities are guided, supported, shaped, or constrained by others, such as peers or teachers, and the social system, including the learning environment.

    “Co-regulated learning (CoRL) occurs when learners' regulatory activities are guided, supported, shaped, or constrained by others, such as peers or teachers, and the social system, including the learning environment (Hadwin, Järvelä & Miller, 2017).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hadwin, Järvelä & Miller, 2017

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  • Classified as probably not a substantial claim.

    Interpretationnone given

    The design artefact presented in the article uses a conceptual model that visualizes the relationships between dashboard design and the learning sciences to provide cognitive and behavioral process-oriented feedback to learners and teachers to support regulation of learning.

    “The design artefact presented in this article uses a conceptual model that visualizes the relationships between dashboard design and the learning sciences to provide cognitive and behavioral process-oriented feedback to learners and teachers to support regulation of learning.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The conceptual model presented is a valid guide for designing LAD feedback to support regulation of learning.
  • Classified as probably not a substantial claim.

    Premisecitation

    Regulation of learning and performance is central to research on feedback.

    “The regulation of learning and performance is central to research on feedback (Butler & Winne, 1995).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Butler & Winne, 1995 source

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    Premisecitation

    Behavioral change and improved performance were observed when supporting learners in the interpretation of visualizations.

    “Empirical studies show that behavioral change and improved performance were observed when supporting learners in the interpretation of visualizations (Sedrakyan, 2016).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Sedrakyan, 2016

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    Interpretationcitation

    In terms of data analysis approaches, process (sequence) analytics should be considered as opposed to the statistical and data-mining approaches currently widely applied in research on learning analytics.

    “This type of process can be referred to as a sequencing of cognitive and behavioral activities, suggesting that in terms of data analysis approaches, we also need to consider the role of process (sequence) analytics (Sedrakyan, 2016;Sedrakyan, Snoeck & De Weerdt, 2014) as opposed to the statistical and data-mining approaches currently widely applied in research on learning analytics.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Sedrakyan, 2016

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    • cites Sedrakyan, Snoeck & De Weerdt, 2014

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    Premisecitation

    The process-analytics approach allowed exploring learning process patterns that associate with better or worse learning outcomes, subsequently being used as guidelines to improve teaching.

    “The approach allowed exploring learning process patterns that associate themselves with better/worse learning outcomes, subsequently being used as guidelines to improve teaching (Sedrakyan, De Weerdt & Snoeck, 2016;Sedrakyan, 2016).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Sedrakyan, De Weerdt & Snoeck, 2016

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    • cites Sedrakyan, 2016

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    Interpretationreasoning

    Adaptation profiles can use learner behavior following viewing and monitoring activities to show approximations of adaptation effort.

    “These profiles can use learner behavior following viewing and monitoring activities to show approximations of adaptation effort.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Depending on the types of goals learners possess, learning outcomes will target different levels of knowledge, skills, competences, or simply task completion, which also determines how learners engage with the regulated learning process.

    “Depending on the types of goals learners possess, learning outcomes will target different levels of knowledge, skills, competences, or simply task completion, which also determines how learners engage with the regulated learning process (Winne, Hadwin, & Perry, 2013).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Winne, Hadwin, & Perry, 2013

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    Premisecitation

    A planning profile includes activities such as planning the sub-goals to reach, selection of learning strategy (action plan), the materials and resources to use, and allocation of time.

    “In general, a planning profile includes activities such as a) planning the sub-goals to reach, b) selection of learning strategy (action plan), c) the materials and resources to use, and c) allocation of time (Pintrich, 2000).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Pintrich, 2000 source

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  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    A co-adaptation profile will utilize the concept of peer-oriented feedback both for individual and group learning plans.

    “A co-adaptation profile will utilize the concept of peer-oriented feedback (e.g., “Could you give feedback on your peer task results?”) both for individual and group learning plans.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    A self-monitoring profile can inform a learner about his or her progress with respect to an action plan and self-defined goals.

    “A self-monitoring profile can inform a learner about his or her progress with respect to an action plan and self-defined goals.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Planning profiles will be used both to guide learners and inform teachers about the coherence and alignment between learners' and teacher's specified goals and action plans.

    “These planning profiles will be used both to guide learners and inform teachers about the coherence and alignment between learners' and teacher's specified goals and action plans.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    A learner's attempt in combination with outcomes, utilized time and resources will allow measuring if the self-regulation effort was successful or sufficient.

    “whereas a learner's attempt in combination with outcomes, utilized time and resources (as well as feedback received on earlier attempt) will allow measuring if the self-regulation effort was successful or sufficient.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Absence of another trial might suggest a need for behavioral feedback to engage a learner in a regulatory process.

    “Absence of another trial might for instance suggest a need for behavioral feedback to engage a learner in a regulatory process,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    By creating visible artefacts of varying sub-goals related to mastering new knowledge or skills, we can make them observable in the learning process for both instructor and learner.

    “That is, by creating visible artefacts of varying sub-goals related to mastering the new knowledge or skills and/or competence, we can make them observable in the learning process for both the instructor and learner.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Task-specific subgoals (TSSG) include steps that are specific, measurable, action-oriented, realistic, and temporal.

    “Task-specific subgoals (TSSG) include steps that are a) specific, b) measurable, c) action-oriented, d) realistic, and e) temporal (Winne & Hadwin, 1998).”
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    Premisecitation

    The Technology Acceptance Model suggests ease of use and perceived usefulness as important factors contributing to the user acceptance (i.e., actual utility) of LAD feedback.

    “Previous studies have identified important variables dealing with user acceptance for computer-assisted learning environments, such as the Technology Acceptance Model (Davis, 1989), which suggests ease of use and perceived usefulness as important factors contributing to the user acceptance (i.e., actual utility) of LAD feedback.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Davis, 1989 source

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    Premisecitation

    Backward design uses goal setting as the focal point of lesson design.

    “For example, “backward design,” which is a well-known instructional design model, uses goal setting as the focal point of lesson design (Wiggins & McTighe, 1998).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wiggins & McTighe, 1998

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    Interpretationnone given

    Planning profiles can provide additional information about the overall level of preparedness, preferences and difficulties of learners.

    “The planning profiles can also provide additional information about the overall level of preparedness, preferences and difficulties of learners.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    An increased or decreased effort in combination with achievements can be indicative of whether activities had an impact on achievement.

    “For instance, an increased or decreased effort in combination with achievements (e.g., score) can be indicative of whether activities, such as attending classes, use of a learning resource, task completion, or received feedback had an impact on achievement.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Based on learners' goals, LADs should be able to propose personalized learning trajectories (action plans), also taking into consideration the level of preparedness and dependencies between learning (sub-)goals.

    “We posit that based on these goals, LADs should be able to propose personalized learning trajectories (action plans), also taking into consideration the level of preparedness and dependencies between learning (sub-)goals.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The learning science concepts reviewed (regulation of learning, feedback typology, goal orientation, efficiency and effectiveness) are the relevant and sufficient concepts for designing LAD feedback.
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The conceptual model can serve as a general framework for designing and building information systems as a basis for educational dashboard feedback.

    “This model can serve as a general framework for designing and building information systems as a basis for educational dashboard feedback.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Detection of inefficient processes can be useful in determining the timeliness (receive time) of the feedback.

    “we posit that the detection of inefficient processes can be useful in determining the timeliness (receive time) of the feedback.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    Adaptation profiles can inform learners about the level of effort put into learning regulation and the needs for adaptation.

    “Adaptation profiles can inform learners about the level of effort put into learning regulation and the needs for adaptation (e.g., how learners perform with learning challenges, the resources they use, how much time they spend, and whether they need additional feedback).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Goal-directed behavior that results from self-goal setting is empowering and proactive, as students take responsibility and ownership.

    “Goal-directed behavior that results from self-goal setting is empowering and proactive, as students take responsibility and ownership (Elliot & Fryer, 2008).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Elliot & Fryer, 2008

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    Premisecitation

    When using backward design, instructors identify learning goals first, determine acceptable evidence, and plan learning experiences and instruction to achieve those goals.

    “When using backward design, instructors identify learning goals for the course first, considering what they want students to know and be able to do when they finish the course, and then determine acceptable evidence regarding whether those goals are met and plan learning experiences and instruction to achieve those learning goals (Wiggins & McTighe, 1998).”
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    • cites Wiggins & McTighe, 1998

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    Interpretationreasoning

    A self-adaptation profile will inform a learner about how successful he or she was in addressing a challenge and what actions he or she can take to address a detected challenge.

    “A self-adaptation profile will inform a learner about how successful he or she was in addressing a challenge and what actions he or she can take to address a detected challenge.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    By complementing the idea of feedback with the concepts of effectiveness and efficiency, it is possible to assess learning progress with respect to potential intervention needs and to determine optimal receive time of feedback by discovering inefficient or ineffective processes during learning.

    “In summary, by complementing the idea of feedback with the concepts of effectiveness and efficiency, it is possible to assess a learning progress with respect to potential intervention needs and, more specifically, with respect to determining optimal”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The learning science concepts reviewed (regulation of learning, feedback typology, goal orientation, efficiency and effectiveness) are the relevant and sufficient concepts for designing LAD feedback.
  • May combine two claims.

    Interpretationreasoning

    Outputs of TSSGs and engagement patterns will allow distinguishing the needs for the type of feedback (cognitive or behavioral) and expanding dashboard performance visualizations with textual feedback to learners and teachers.

    “In summary, while the outputs of TSSGs and engagement patterns will allow distinguishing the needs for the type of feedback (cognitive or behavioral), these also allow expanding dashboard performance visualizations with textual feedback to learners and teachers.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The model allows for the generation of process-oriented feedback to different users related to different learning goals.

    “The model allows for the generation of process-oriented feedback to different users (e.g., teacher and learners) related to different learning goals.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationnone given

    In the planning phase using backward design, the task-specific sub-goals necessary to obtain a knowledge or skill are linked with mastering the proposed learning material.

    “In the planning phase, using backward design, the task specific sub-goals necessary to obtain a knowledge or skill are linked with mastering the proposed learning material.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    If the expected utility of a specific resource within an agreed time does not lead to achievement of the expected learning goal, it might suggest that the resource contains a certain level of difficulty for that cluster, and vice versa.

    “For example, if the expected utility of a specific resource within a meaningful (agreed) time does not lead to the achievement of the expected learning goal, either for a specific learner or group of learners (depending on the observation target), it might suggest that the resource for a specific goal contains a certain level of “difficulty” for that cluster, and vice versa.”
    Quote in the paperNot a substantial claim
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    Premisecitation

    According to goal-setting theory, goals should be short term rather than long term and challenging, and should be Specific, Measurable, Achievable, Relevant, and Time-framed (SMART).

    “According to goal-setting theory, goals should be short term rather than long term and challenging (Latham & Locke, 2002) and “Specific, Measurable, Achievable, Relevant, Time-framed” (SMART; Drucker, 1954).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Latham & Locke, 2002

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    • cites Drucker, 1954

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    Interpretationreasoning

    The role of the monitoring profile in the context of dashboards is to detect and suggest further adaptation needs for learners and inform teachers about difficulties if the expected performance level is not being achieved within an agreed action plan and timeframe.

    “In general, the role of the monitoring profile in the context of dashboards is to detect and suggest further adaptation needs for learners and inform teachers about difficulties if the expected performance level is not being achieved within an agreed action plan and timeframe (see the case example for further details).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Learning resources can serve as artefacts of instructor expectations or planning.

    “These resources can serve as artefacts of instructor expectations or planning.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    A co-monitoring profile can provide information about how well a learner performs with respect to his or her peers if the goal orientation is set to performance.

    “A comonitoring profile can also provide information about how well a learner performs with respect to his or her peers if the goal orientation is set to “performance”.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The feedback idea presented in this example was piloted by the analysis of data from the authors' experiment conducted at LeaForum.

    “The feedback idea presented in this example was piloted by the analysis of data from the authors' experiment conducted at LeaForum (http://www.oulu.fi/leaf-eng/).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Group standards can be used to provide group-oriented monitoring feedback.

    “Group standards can be used to provide group-oriented monitoring feedback (see the discussed theoretical concept in section 3.2.1,3.2.2 and the measurment and presentation layer concepts in sections 4.1 and 4.3).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    The proposed design model allows extending dashboard feedback with textual explanations in the form of cognitive and behavioral feedback, which makes learning-process data visualizations easier to interpret for an end user.

    “Ultimately, the proposed design model allows extending dashboard feedback with textual explanations in the form of cognitive and behavioral feedback which makes learning-process data visualizations easier to interpret for an end user.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The case example makes use of visualization techniques based on empirical evidence from earlier research.

    “as the case example makes use of visualization techniques based on empirical evidence from earlier research, investigating other visualization techniques and testing which techniques can work better in supporting the feedback ideas presented in this paper can yet be another possible future research direction.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Several researchers argue that showing an aggregated analysis with respect to peer performance is a good approach.

    “Several researchers argue that showing an aggregated analysis with respect to peer performance is a good approach (Lonn et al., 2015).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Lonn et al., 2015 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    Such feedback can be constructed based on learner profiles of regulation process phases spanning the planning, monitoring, and adapting activities, thus allowing detecting inefficient processes in learning.

    “Such feedback can be constructed based on learner profiles of regulation process phases spanning the planning, monitoring, and adapting activities thus allowing detecting inefficient processes in learning.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Backward instructional design provides richer opportunities for tracking learning processes due to the use of goal setting as the focal point of lesson design and TSSGs, which combine steps that are measurable, action-oriented, and temporal.

    “Further,”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Visual inspection can easily reveal if the interactions are balanced within a group or concentrated among particular members.

    “For instance, visual inspection can easily reveal if the interactions are balanced within a group or concentrated among particular members.”
    Quote in the paperNot a substantial claim
53 of 53
  • The paper relies on this without support.

    The conceptual model presented is a valid guide for designing LAD feedback to support regulation of learning.

    “The design artefact presented in this article uses a conceptual model that visualizes the relationships between dashboard design and the learning sciences to provide cognitive and behavioral process-oriented feedback to learners and teachers to support regulation of learning.”
    “The model aims to address the gap between LADs and learning theories serving as both a basis for building information systems and thus also helping to understand future data needs, and an initial platform to guide future research in this domain.”
  • The paper relies on this without support.

    The learning science concepts reviewed (regulation of learning, feedback typology, goal orientation, efficiency and effectiveness) are the relevant and sufficient concepts for designing LAD feedback.

    “This section provides a preliminary discussion on what concepts we need to support in the design of dashboard feedback to make it possible to observe learning processes with respect to potential feedback (i.e., regulation in learning) needs of different learners for different learning goals.”
    “In this work, we complement the engineering approach with theories in the learning sciences to design a novel artefact, namely, a process-oriented feedback model in the context of LADs.”
  • The authors state this as an assumption.

    TSSGs are initially carefully defined by an instructor in the context of instruction design and in accordance with goal-setting theory.

    “To enable dashboard feedback based on TSSGs, we create the premise that they are initially carefully defined by an instructor in the context of instruction design and in accordance with goal-setting theory.”
  • The authors state this as an assumption.

    A teacher is responsible for ensuring the quality of a goal in terms of being SMART.

    “In this paper, we assume that a teacher is responsible for ensuring the quality of a goal in terms of being SMART.”
  • The paper relies on this without support.

    Goals provide learners with standards against which they can monitor the learning process and progress.

    “From a self-regulated learning perspective, goals provide learners with standards against which they can monitor the learning process and progress.”
  • The paper relies on this without support.

    Metacognitive monitoring enables learners to adjust or change their goals, plans, or strategies for learning.

    “From a regulated learning point of view, metacognitive monitoring enables learners to adjust or change their goals, plans, or strategies for learning.”
  • The paper relies on this without support.

    User acceptance can be an important factor affecting the successful use of dashboard feedback.

    “Despite the intended benefits of dashboards, user acceptance can be yet another important factor affecting the successful use of dashboard feedback.”
  • The paper relies on this without support.

    Monitoring can prove distracting and thereby alter the nature of learning in a negative way.

    “During the learning process, monitoring can prove distracting and thereby alter the nature of learning in a negative way.”
  • The paper relies on this without support.

    Too much feedback can be as harmful as delayed feedback.

    “Too much feedback can be as harmful as delayed feedback.”
  • The paper relies on this without support.

    Group dynamics and interactivity are to a large extent predictive for the collaborative nature of learning processes.

    “The motivation for this choice is that group dynamics and interactivity are to a large extent predictive for the collaborative nature of learning processes.”
  • The paper relies on this without support.

    Existing LAD solutions mainly focus on performance orientation.

    “which is the main focus of existing solutions.”
11 of 11

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

4 of the 93 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Wiggins, 1998, What is backward design, Understanding by Design, 1, 7

Cited by

Sorted by citations

Authors
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A.
Affiliations
  • Ghent University (BE)
  • University of Oulu (FI)
  • KU Leuven (BE)
  • Open University of the Netherlands (NL)
Corresponding author
Sedrakyan, Gayane
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2020-06
Volume
107
Pages
105512
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2800204907
Cited by
283
References
93
Citations by year
2026: 21 · 2025: 33 · 2024: 45 · 2023: 49 · 2022: 44 · 2021: 42 · 2020: 26 · 2019: 16 · 2018: 4 · 2017: 3
FWCI
27.79
Type
journal article
Language
en
Open access
Locations
  • Computers in Human Behavior (publishedVersion)
  • Lirias (KU Leuven) (acceptedVersion, other-oa)
  • DSpace (Open University in the Netherlands) (submittedVersion, public-domain)
  • DSpace (Open University in the Netherlands) (submittedVersion, other-oa)
Funders
  • Belgian Scientific Organization (V4.533.15N)
  • Internal Funds of KU Leuven - PROFEELEARN (PDM/16/044)
  • JUMO
  • Academy of Finland
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
Keywords
learning analytics dashboards, learning regulation, process-oriented feedback, learning objectives, student self-regulation, dashboard design, conceptual model, visualization techniques, instructor feedback

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

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