The screen inferiority depends on test format in reasoning and meta-reasoning tasks

被引:2
|
作者
Wang, Xun [1 ,2 ]
Chen, Luyao [1 ]
Liu, Xinyue [1 ]
Wang, Cai [1 ]
Zhang, Zhenxin [1 ]
Ye, Qun [1 ,2 ]
机构
[1] Zhejiang Normal Univ, Sch Psychol, Jinhua, Zhejiang, Peoples R China
[2] Zhejiang Normal Univ, Key Lab Intelligent Educ Technol & Applicat Zhejia, Jinhua, Zhejiang, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2023年 / 14卷
基金
中国国家自然科学基金;
关键词
reasoning; meta-reasoning; screen inferiority; medium; test format; READING-COMPREHENSION; PERFORMANCE; PAPER; MEDIA; TEXTS;
D O I
10.3389/fpsyg.2023.1067577
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Influential work has confirmed screen inferiority in reading tasks that reading on screen is less productive than reading on paper. Recent researches suggest that poor cognitive performance in screen environments may be primarily due to cognitive defects rather than technological flaws. Although some studies have explored screen inferiority in reasoning tasks from cognitive and metacognitive perspectives, related theories have yet to be enriched. Here, we found that screen inferiority exists in reasoning performance regardless of the test format (multiple-choice VS. open-ended), which may result from shallow processing consistent with the previous findings. However, meta-reasoning monitoring showed screen inferiority only in the multiple-choice test format. Our results indicate that the screens exhibit robust inferiority in reasoning scores, while the influence of the media on meta-reasoning may vary with external triggers. Our research may shed light on how to conduct efficient reasoning in the screen age.
引用
收藏
页数:12
相关论文
共 48 条
  • [21] Abstract architecture for meta-reasoning in multi-agent systems
    Pechoucek, M
    Stepánková, O
    Marík, V
    Bárta, J
    MULTI-AGENT SYSTEMS AND APPLICATIONS III, PROCEEDINGS, 2003, 2691 : 84 - 99
  • [22] Frequency format facilitates reasoning in simple numerical tasks
    Misuraca, R
    Cardaci, M
    PSYCHOLOGICAL REPORTS, 2005, 97 (03) : 691 - 695
  • [23] Doing more with less: meta-reasoning and meta-learning in humans and machines
    Griffiths, Thomas L.
    Callaway, Frederick
    Chang, Michael B.
    Grant, Erin
    Krueger, Paul M.
    Lieder, Falk
    CURRENT OPINION IN BEHAVIORAL SCIENCES, 2019, 29 : 24 - 30
  • [24] Using Meta-reasoning to Improve the Performance of Case-Based Planning
    Mehta, Manish
    Ontanon, Santiago
    Ram, Ashwin
    CASE-BASED REASONING RESEARCH AND DEVELOPMENT, PROCEEDINGS, 2009, 5650 : 210 - 224
  • [25] Creative metacognition: A much needed bridge between meta-reasoning and creativity
    Kenett, Yoed N.
    Ackerman, Rakefet
    PHYSICS OF LIFE REVIEWS, 2023, 47 : 162 - 164
  • [26] Evaluating Datalog Tools for Meta-reasoning over OWL 2 QL
    Majid, Qureshi Haya
    Wolfgang, Faber
    THEORY AND PRACTICE OF LOGIC PROGRAMMING, 2024, 24 (02) : 368 - 393
  • [27] On optimal game-tree search using rational meta-reasoning
    1600, Morgan Kaufmann Publ Inc, San Mateo, CA, USA (01):
  • [28] Meta-Reasoning about Decisions in Autonomous Semi-Intelligent Systems
    Danielson, Mats
    Ekenberg, Love
    2020 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, METAHEURISTICS & SWARM INTELLIGENCE (ISMSI 2020), 2020, : 42 - 46
  • [29] Using Hybrid Knowledge Bases for Meta-reasoning over OWL 2 QL
    Qureshi, Haya Majid
    Faber, Wolfgang
    PRACTICAL ASPECTS OF DECLARATIVE LANGUAGES, PADL 2023, 2023, 13880 : 216 - 231
  • [30] Mechanized meta-reasoning using a hybrid HOAS/de Bruijn representation and reflection
    Hickey, Jason
    Nogin, Aleksey
    Yu, Xin
    Kopylov, Alexei
    ACM SIGPLAN NOTICES, 2006, 41 (09) : 172 - 183