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Echeverria, Vanessa; Yang, Kexin; Lawrence, LuEttaMae; Rummel, Nikol; Aleven, Vincent – IEEE Transactions on Learning Technologies, 2023
Combining individual and collaborative learning is common, but dynamic combinations (which happen as-the-need arises, rather than in preplanned ways, and may happen on an individual basis) are rare. This work reports findings from a technology probe study exploring alternative designs for classroom co-orchestration support for dynamically…
Descriptors: Man Machine Systems, Artificial Intelligence, Cooperative Learning, Educational Technology
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Yang, Kexin Bella; Echeverria, Vanessa; Wang, Xuejian; Lawrence, LuEttaMae; Holstein, Kenneth; Rummel, Nikol; Aleven, Vincent – International Educational Data Mining Society, 2021
Constructing effective and well-balanced learning groups is important for collaborative learning. Past research explored how group formation policies affect learners' behaviors and performance. With the different classroom contexts, many group formation policies work in theory, yet their feasibility is rarely investigated in authentic class…
Descriptors: Grouping (Instructional Purposes), Cooperative Learning, Teaching Methods, Kindergarten
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Shou, Tianze; Borchers, Conrad; Karumbaiah, Shamya; Aleven, Vincent – International Educational Data Mining Society, 2023
Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…
Descriptors: Classroom Design, Accuracy, Validity, Space Utilization
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Nagashima, Tomohiro; Bartel, Anna N.; Yadav, Gautam; Tseng, Stephanie; Vest, Nicholas A.; Silla, Elena M.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2021
Prior research shows that self-explanation promotes understanding by helping learners connect new knowledge with prior knowledge. However, despite ample evidence supporting the effectiveness of self-explanation, an instructional design challenge emerges in how best to scaffold self-explanation. In particular, it is an open challenge to design…
Descriptors: Teaching Methods, Mathematics Instruction, Algebra, Middle School Students
Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2019
Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article…
Descriptors: Learning Analytics, Technology Uses in Education, Artificial Intelligence, Stakeholders
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Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Journal of Learning Analytics, 2019
Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article…
Descriptors: Learning Analytics, Technology Uses in Education, Artificial Intelligence, Stakeholders
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Nagashima, Tomohiro; Yang, Kexin; Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2020
When designing an instructional tool and using it in pedagogical activities, it is essential that designers and users understand what pedagogical affordances and constraints the tool provides to support its successful integration into targeted pedagogical activities. Toward this end, we developed "Pedagogical Affordance Analysis (PAA)."…
Descriptors: Teaching Methods, Pedagogical Content Knowledge, Mathematics Instruction, Middle School Students
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Borchers, Conrad; Carvalho, Paulo F.; Xia, Meng; Liu, Pinyang; Koedinger, Kenneth R.; Aleven, Vincent – Grantee Submission, 2023
In numerous studies, intelligent tutoring systems (ITSs) have proven effective in helping students learn mathematics. Prior work posits that their effectiveness derives from efficiently providing eventually-correct practice opportunities. Yet, there is little empirical evidence on how learning processes with ITSs compare to other forms of…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Mathematics Education, Learning Processes
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Huang, Yun; Dang, Steven; Richey, J. Elizabeth; Asher, Michael; Lobczowski, Nikki G.; Chine, Danielle; McLaughlin, Elizabeth A.; Harackiewicz, Judith M.; Aleven, Vincent; Koedinger, Kenneth – International Educational Data Mining Society, 2022
Gaming the system, a behavior in which learners exploit a system's properties to make progress while avoiding learning, has frequently been shown to be associated with lower learning. However, when we applied a previously validated gaming detector across conditions in experiments with an algebra tutor, the detected gaming was not associated with…
Descriptors: Item Response Theory, Learner Engagement, Student Behavior, Student Motivation
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Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Journal of Educational Psychology, 2015
Research shows that multiple external representations can significantly enhance students' learning. Most of this research has focused on learning with text and 1 additional graphical representation. However, real instructional materials often employ multiple "graphical" representations (MGRs) in addition to text. An important open…
Descriptors: Graphs, Instructional Materials, Instructional Effectiveness, Educational Experiments
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Chase, Catherine C.; Connolly, Helena; Lamnina, Marianna; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2019
A successful instructional method is to engage learners with exploratory problem-solving before providing explanations of the canonical solutions and foundational concepts. A key question is whether and what type of guidance will lead learners to explore more productively and how this guidance will affect subsequent learning and transfer. We…
Descriptors: Computer Assisted Instruction, Teaching Methods, Learner Engagement, Problem Solving