Worked examples with errors: when self-explanation prompts hinder learning of teachers diagnostic competences on problem-based learning

被引:0
|
作者
Nicole Heitzmann
Frank Fischer
Martin R. Fischer
机构
[1] University of Munich,Department of Psychology
[2] University Hospital,Institute for Medical Education
[3] LMU Munich,undefined
来源
Instructional Science | 2018年 / 46卷
关键词
Diagnostic competences; Worked examples with errors; Self-explanation prompts; Adaptable feedback; Teacher education;
D O I
暂无
中图分类号
学科分类号
摘要
To diagnose classroom situations is crucial for teachers’ everyday practice. The approach of worked examples with errors seems promising to support the diagnosis of classroom situations in student teachers (Stark et al. in Learn Instr 21(1):22–33, 2011). To enhance that approach, error-explanation prompts and an adaptable feedback method to help the learner realize why an error happened and how to prevent a recurrence might be beneficial. In this empirical study, we investigated whether error-explanation prompts and adaptable feedback can facilitate diagnostic competences. N = 108 student teachers took part in a 2 × 2 factorial design (with and without error-explanation prompts as well as with and without adaptable feedback). Error-explanation prompts had a positive effect on declarative-conceptual knowledge if combined with adaptable feedback. Student teachers might have realized a lack of basic concepts and focused their attention on the declarative-conceptual knowledge in the feedback. Contrary to our expectations, however, error-explanation prompts hindered rather than facilitated learning of practical diagnostic knowledge.
引用
下载
收藏
页码:245 / 271
页数:26
相关论文
共 50 条
  • [31] Science Teachers' Experiences when Implementing Problem-based Learning in Rural Schools
    Osman, Ali
    Kriek, Jeanne
    AFRICAN JOURNAL OF RESEARCH IN MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2021, 25 (02) : 148 - 159
  • [32] The effects of directive self-explanation prompts to support active processing of multiple representations in a simulation-based learning environment
    van der Meij, J.
    de Jong, T.
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2011, 27 (05) : 411 - 423
  • [33] Training teachers' diagnostic competence with problem-based learning: A pilot and replication study
    Wedel, Alexander
    Mueller, Christin R.
    Pfetsch, Jan
    Ittel, Angela
    TEACHING AND TEACHER EDUCATION, 2019, 86
  • [34] PROBLEM-BASED LEARNING METHODOLOGY AS A STRATEGY TO IMPROVE TRANSVERSAL COMPETENCES
    Fandos Roig, Juan Carlos
    Estrada Guillen, Marta
    Sanchez Garcia, Javier
    Moliner Tena, Miguel Angel
    EDULEARN10: INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2010, : 1242 - 1248
  • [35] The combination of segmentation and self-explanation to enhance video-based learning
    Zheng, Hua
    Branch, Robert Maribe
    Ding, Lu
    Kim, Dongho
    Jung, Eulho
    Lu, Zhenqiu
    Li, Tong
    Pan, Zilong
    Yoon, Meehyun
    ACTIVE LEARNING IN HIGHER EDUCATION, 2024, 25 (02) : 285 - 302
  • [36] Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?
    Richey, J. Elizabeth
    McLaren, Bruce M.
    Andres-Bray, Miguel
    Mogessie, Michael
    Scruggs, Richard
    Baker, Ryan
    Star, Jon
    ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, 2019, 11625 : 445 - 457
  • [37] The effective learning support strategy for self learning with problem-based learning
    Okamura, S
    Matushima, I
    Yano, Y
    C5 2005: Third International Conference on Creating, Connecting and Collaborating through Computing, Proceedings, 2005, : 150 - 157
  • [38] Example-based learning: should learners receive closed-book or open-book self-explanation prompts?
    Sara Hiller
    Stefan Rumann
    Kirsten Berthold
    Julian Roelle
    Instructional Science, 2020, 48 : 623 - 649
  • [39] Learning to teach with worked-out examples: a computer-based learning environment for teachers
    Hilbert, T. S.
    Renkl, A.
    Schworm, S.
    Kessler, S.
    Reiss, K.
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2008, 24 (04) : 316 - 332
  • [40] Example-based learning: should learners receive closed-book or open-book self-explanation prompts?
    Hiller, Sara
    Rumann, Stefan
    Berthold, Kirsten
    Roelle, Julian
    INSTRUCTIONAL SCIENCE, 2020, 48 (06) : 623 - 649