Systematic literature review of STEM self-study related ITSs

被引:10
作者
Alabdulhadi, Asmaa [1 ]
Faisal, Maha [2 ]
机构
[1] Minist Higher Educ, Dept Informat Technol, Kuwait, Kuwait
[2] Kuwait Univ, Dept Comp Engn, Kuwait, Kuwait
关键词
Systematic literature review; Self-directed study; Intelligent tutoring systems; Pedagogical systems; INTELLIGENT TUTORING SYSTEM; E-LEARNING SYSTEM; FORMATIVE ASSESSMENT; KNOWLEDGE; FEEDBACK; ENVIRONMENTS; TECHNOLOGY; STRATEGIES; SUPPORT; DESIGN;
D O I
10.1007/s10639-020-10315-z
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
A simulator-based Intelligent Tutoring System (ITS) is a computer system that is made to provide students with a learning experience that is both customizable to a student's needs (e.g., level of expertise, pace) and includes simulation, e.g., demonstrate certain domain concepts or allow problem-solving while replicating a real-life situation. ITSs offers convenient and low-cost studying. We aim to explore the recent trends and identify limitations and opportunities in recent work on STEM (Science, Technology, Engineering, and Mathematics) self-study simulator based ITSs, we conducted a systematic literature review investigating 47 papers from four different databases. The research encloses ITSs from various educational sectors, ranging from elementary, middle, secondary, tertiary, and after school training. The majority of the systems targeted tertiary education. As a result,there are many research opportunities in introducing a more generalizable approach to simulator-based ITSs which will make it easier to address many STEM-related subjects. There are also opportunities in utilizing help methods that emphasize encouragement and self-reflection. We noticed that the number of STEM-related simulator-based ITSs is relatively low. Another finding was that most simulator-based ITSs are domain-dependent, and therefore they are not reusable for other subjects. Finally, we found that the traits of feedback in simulator-based systems that result in positive learning outcomes are ones that combined immediate and delayed feedback, used procedural information in their feedback, of formative feedback type, and detailed feedback.
引用
收藏
页码:1549 / 1588
页数:40
相关论文
共 55 条
[1]   Automatic generation of emotions in tutoring agents for affective e-learning in medical education [J].
Alepis, Efthymios ;
Virvou, Maria .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) :9840-9847
[2]  
[Anonymous], 2011, J ED TECHNOLOGY SYST, DOI DOI 10.2190/ET.39.3.c
[3]   Fundamentals of the design and the operation of an intelligent tutoring system for the learning of the arithmetical and algebraic way of solving word problems [J].
Arnau, David ;
Arevalillo-Herraez, Miguel ;
Puig, Luis ;
Antonio Gonzalez-Calero, Jose .
COMPUTERS & EDUCATION, 2013, 63 :119-130
[4]   Adaptive feedback in computer-based learning environments: a review [J].
Bimba, Andrew Thomas ;
Idris, Norisma ;
Al-Hunaiyyan, Ahmed ;
Mahmud, Rohana Binti ;
Shuib, Nor Liyana Bt Mohd .
ADAPTIVE BEHAVIOR, 2017, 25 (05) :217-234
[5]   Effects of Prior Knowledge in Mathematics on Learner-Interface Interactions in a Learning-by-Teaching Intelligent Tutoring System [J].
Bringula, Rex P. ;
Basa, Roselle S. ;
Dela Cruz, Cecilio ;
Rodrigo, Ma. Mercedes T. .
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 2016, 54 (04) :462-482
[6]  
BYBEE R. W., 2013, The case for STEM education
[7]   Knowledge-based systems to enhance learning: A case study on formal languages and automata theory [J].
Castro-Schez, J. J. ;
Gallardo, J. ;
Miguel, R. ;
Vallejo, D. .
KNOWLEDGE-BASED SYSTEMS, 2017, 122 :180-198
[8]   Complementary machine intelligence and human intelligence in virtual teaching assistant for tutoring program tracing [J].
Chou, Chih-Yueh ;
Huang, Bau-Hung ;
Lin, Chi-Jen .
COMPUTERS & EDUCATION, 2011, 57 (04) :2303-2312
[9]   Fuzzy Logic for Adaptive Instruction in an E-learning Environment for Computer Programming [J].
Chrysafiadi, Konstantina ;
Virvou, Maria .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (01) :164-177
[10]   A COGNITIVE TUTOR FOR GENETICS PROBLEM SOLVING: LEARNING GAINS AND STUDENT MODELING [J].
Corbett, Albert ;
Kauffman, Linda ;
Maclaren, Ben ;
Wagner, Angela ;
Jones, Elizabeth .
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 2010, 42 (02) :219-239