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- Bayesian Knowledge Tracing (1)
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- Cognitive Modeling (1)
- Designing causal explanations (1)
- Educational data mining (1)
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- Help-seeking behaviours (1)
- IRT (1)
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Articles 1 - 3 of 3
Full-Text Articles in Education
On The Benefits Of Seeking (And Avoiding) Help In Online Problem-Solving Environments, Ryan Baker, Ido Roll, Vincent Aleven, Kenneth Koedinger
On The Benefits Of Seeking (And Avoiding) Help In Online Problem-Solving Environments, Ryan Baker, Ido Roll, Vincent Aleven, Kenneth Koedinger
Ryan S.J.d. Baker
Seeking the!right!level!of!help!at!the!right!time!can!support!learning.! However,!in!the!context!of!online!problem=solving!environments,!it!is!still!not! entirely!clear!which!help=seeking!strategies!are!desired.!We!use!fine=grained data! from!38!high=school!students!who!worked!with!the!Geometry!Cognitive!Tutor!for! two!months to!better!understand!the!associations!between!specific!help=seeking! patterns!and!learning.!We evaluate how!students’!help=seeking!behaviours!on!each! step!in!a!tutored!problem!are associated!with their!success!on!subsequent!steps that! require!the!same!skills.!Analysing!learning!at!the!skill level!allows!us to!compare! different!help=seeking!patterns!within!a!single!student,!controlling!for!between= student!variations.!Overall,!asking!for!help!on!challenging!steps is!associated!with! productive!learning, and!overusing!help!is!associated!with!poorer!learning. However,!contrary!to!many help=seeking!theories,!avoiding!help (and!failing repeatedly)!is!associated!with!better learning!than!seeking!help on!steps!for!which! students!have!low!prior!knowledge.!These!results!suggest!that!novice!learners!may! benefit!from!engaging!in!solution!attempts before!they!can!make!sense!of!given! assistance. Methodological!benefits!for!using!local!measures!of!learning!are! discussed!and!comparisons!are!drawn!to!other!forms!of!Productive!Failure!in! problem=solving.!
Towards General Models Of Effective Science Inquiry In Virtual Performance Assessments, Ryan Baker, Jody Clarke-Midura, J. Ocumpaugh
Towards General Models Of Effective Science Inquiry In Virtual Performance Assessments, Ryan Baker, Jody Clarke-Midura, J. Ocumpaugh
Ryan S.J.d. Baker
Recent interest in online assessment of scientific inquiry has led to several new online systems that attempt to assess these skills, but producing models that detect when students are successfully practicing these skills can be challenging. In this paper, we study the models that assess student inquiry in an immersive virtual environment, where a student navigates an avatar around a world, speaking to in-game characters, collecting samples, and conducting scientific tests with those samples in the virtual laboratory. To this goal, we leverage log file data from nearly two thousand middle-school students using Virtual Performance Assessment (VPA), a software system …
A Review Of Recent Advances In Learner And Skill Modeling In Intelligent Learning Environments, Ryan Baker, Michael Desmaris
A Review Of Recent Advances In Learner And Skill Modeling In Intelligent Learning Environments, Ryan Baker, Michael Desmaris
Ryan S.J.d. Baker
In recent years, learner models have emerged from the research laboratory and research classrooms into the wider world. Learner models are now embedded in real world applications which can claim to have thousands, or even hundreds of thousands, of users. Probabilistic models for skill assessment are playing a key role in these advanced learning environments. In this paper, we review the learner models that have played the largest roles in the success of these learning environments, and also the latest advances in the modeling and assessment of learner skills. We conclude by discussing related advancements in modeling other key constructs …