Providing Adaptive Feedback in Concept Mapping to Improve Reading Comprehension

Previous research has demonstrated the benefits of applying comparative strategies while learning from informational texts, where students identify key concepts and then attempt to establish relationships between those concepts. Concept mapping is one activity that can prompt students to use comparative strategies, but not all students benefit from this activity without support. This work presents an intelligent tutoring system for concept mapping that facilitates the development of comparative strategies through diagnostic feedback that responds to the quality of students’ concept mapping process and map correctness. The novelty of the system lies in the combination of outcome-based feedback methods typical in concept mapping with adaptive process-based evaluation. In a lab study with 46 college students, we evaluate the effect of this combined adaptive support compared to solely process-based support and no support. Results suggested that the combined feedback approach showed promise at improving students’ use of comparative strategies and learning outcomes.

[1]  I. Kinchin If concept mapping is so helpful to learning biology, why aren't we all doing it? , 2001 .

[2]  Juho Kim,et al.  ConceptScape: Collaborative Concept Mapping for Video Learning , 2018, CHI.

[3]  B. Gains,et al.  An investigation of the effectiveness of concept mapping as an instructional tool , 1995 .

[4]  Marcelo Milrad,et al.  An innovative concept map approach for improving students' learning performance with an instant feedback mechanism , 2012, Br. J. Educ. Technol..

[5]  Lynne Anderson-Inman,et al.  Computer-Based Concept Mapping: Active Studying for Active Learners. , 1993 .

[6]  Tsukasa Hirashima,et al.  Kit-Build Concept Map for Automatic Diagnosis , 2011, AIED.

[7]  Hannah Fletcher Environmental Science (AS) , 2016 .

[8]  Yao-Ting Sung,et al.  Learning through computer‐based concept mapping with scaffolding aid , 2001 .

[9]  Marci S. DeCaro,et al.  When feedback is cognitively-demanding: the importance of working memory capacity , 2015 .

[10]  Larry Ambrose,et al.  The power of feedback. , 2002, Healthcare executive.

[11]  Cedric Linder,et al.  Metacognitive activity in the physics student laboratory: is increased metacognition necessarily better? , 2007 .

[12]  Erin Walker,et al.  What Matters in Concept Mapping? Maps Learners Create or How They Create Them , 2017, AIED.

[13]  Nicola K. Ferdinand,et al.  Timing Matters: The Impact of Immediate and Delayed Feedback on Artificial Language Learning , 2010, Front. Hum. Neurosci..

[14]  Gloria Gomez,et al.  CmapTools: A Knowledge Modeling and Sharing Environment , 2004 .

[15]  Piet Kommers,et al.  Flexibility of Expressiveness: A Critical Factor in the Design of Concept Mapping Tools for Learning , 1992 .

[16]  Gary M Velan,et al.  Knowledge maps: a tool for online assessment with automated feedback , 2018, Medical education online.

[17]  N. Webb,et al.  Constructive Activity and Learning in Collaborative Small Groups. , 1995 .

[18]  Sadhana Puntambekar,et al.  Designing Navigation Support in Hypertext Systems Based on Navigation Patterns , 2005 .

[19]  David H. Jonassen,et al.  Deeper learning in collaborative concept mapping: A mixed methods study of conflict resolution , 2018, Comput. Hum. Behav..

[20]  Alla Anohina-Naumeca,et al.  Feedback in the Concept Map Based Intelligent Knowledge Assessment System , 2010, Sci. J. Riga Tech. Univ. Ser. Comput. Sci..

[21]  Gwo-Jen Hwang,et al.  An interactive concept map approach to supporting mobile learning activities for natural science courses , 2011, Comput. Educ..

[22]  Roy B. Clariana,et al.  A Technique for Automatically Scoring Open-Ended Concept Maps , 2006 .

[23]  Martin Davies Concept mapping, mind mapping and argument mapping: what are the differences and do they matter? , 2011 .

[24]  Barbara L. Grabowski,et al.  Does concept-mapping strategy work for everyone? The levels of generativity and learners' self-regulated learning skills , 2009, Br. J. Educ. Technol..

[25]  Corey J. Bohil,et al.  Delayed feedback effects on rule-based and information-integration category learning. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[26]  Olusola O. Adesope,et al.  Learning With Concept and Knowledge Maps: A Meta-Analysis , 2006 .

[27]  Yusuke Hayashi,et al.  Analysis of The Similarity of Individual Knowledge and The Comprehension of Partner's Representation during Collaborative Concept Mapping with Reciprocal Kit Build Approach , 2020, IEICE Trans. Inf. Syst..

[28]  Lynne Anderson-Inman,et al.  Computer-Based Concept Mapping: Promoting Meaningful Learning in Science for Students with Disabilities , 1998 .

[29]  Gautam Biswas,et al.  Designing Learning by Teaching Agents: The Betty's Brain System , 2008, Int. J. Artif. Intell. Educ..

[30]  Vincent Aleven,et al.  Defining "Ill-Defined Domains"; A literature survey. , 2006 .