Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student's Understanding of a Topic

Autor/inn/en	Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D.
Titel	Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student's Understanding of a Topic
Quelle	In: IEEE Transactions on Learning Technologies, 7 (2014) 3, S.267-279 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-1382
DOI	10.1109/TLT.2014.2330297
Schlagwörter	Artificial Intelligence; Concept Mapping; Teaching Methods; Student Evaluation; Concept Formation; Graphs; Undergraduate Students; Markov Processes; Probability; Programming Languages; Computer Assisted Instruction; Texas + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Concept Map; Teaching method; Lehrmethode; Unterrichtsmethode; Schulnote; Studentische Bewertung; Concept learning; Begriffsbildung; Grafische Darstellung; Markowscher Prozess; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Computer based training; Computerunterstützter Unterricht
Abstract	In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of the concepts identified in the concept map developed by the student. The evaluation of a student's understanding of the topic is assessed by analyzing the curve of the graph generated by this tool. This technique makes extensive use of XML parsing to perform the required evaluation. The tool was successfully tested with students from two undergraduate courses and the results of testing are described in this paper. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2018/2/04