Impact of question-answering tasks on search processes and reading comprehension

被引:89
|
作者
Cerdan, Raquel [1 ]
Vidal-Abarca, Eduardo [2 ]
Martinez, Tomas [2 ]
Gilabert, Ramiro [2 ]
Gil, Laura [2 ]
机构
[1] Catholic Univ Valencia, Fac Psychol, Valencia 46003, Spain
[2] Univ Valencia, Dept Educ Psychol, Valencia 46010, Spain
关键词
Question answering; Online processing measures; Text recall; Deep comprehension; TEXT; INFORMATION; MEMORY; MODEL;
D O I
10.1016/j.learninstruc.2007.12.003
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study examined the effect of (a) high- and low-level questions and (b) reading the text before the questions asked on performance. delayed text recall and deep text comprehension, as well as on specific text-inspection patterns. Participants were 37 Undergraduate Students who answered either high- or low-level questions using the software Read&Answer to read and answer questions on the computer screen. Additionally. half of the sample read first a text and then answered the questions (reading-first condition). whereas the other half answered the questions without having read the text in advance (no-reading-first condition). All participants had the text available to search for the answer. Results indicated that high-level questions facilitated deep comprehension but not immediate performance or delayed recall of text, independently of the reading condition. and that high- and low-level questions differentially affected text-inspection patterns. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:13 / 27
页数:15
相关论文
共 50 条
  • [1] Comprehension processes on question-answering activities: A think-aloud study
    Manez, Ignacio
    Vidal-Abarca, Eduardo
    Magliano, Joseph P.
    [J]. ELECTRONIC JOURNAL OF RESEARCH IN EDUCATIONAL PSYCHOLOGY, 2022, 20 (01) : 1 - 26
  • [2] Information selection strategies in question-answering tasks
    Cerdan, Raquel
    Gilabert, Ramiro
    Vidal-Abarca, Eduardo
    [J]. INFANCIA Y APRENDIZAJE, 2010, 33 (04): : 449 - 460
  • [3] Visual Question Answering as Reading Comprehension
    Li, Hui
    Wang, Peng
    Shen, Chunhua
    van den Hengel, Anton
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 6312 - 6321
  • [4] HCT: Chinese Medical Machine Reading Comprehension Question-Answering via Hierarchically Collaborative Transformer
    Wang, Meiling
    He, Xiaohai
    Liu, Luping
    Fang, Qingmao
    Zhang, Mei
    Chen, Honggang
    Liu, Yan
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (05) : 3055 - 3066
  • [5] Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
    Yu, Guoxin
    Li, Jiwei
    Luo, Ling
    Meng, Yuxian
    Ao, Xiang
    He, Qing
    [J]. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2021, 2021, : 1331 - 1342
  • [6] Evolution of Reading Comprehension and Question Answering Systems
    Krishnamoorthy, Venkatesh
    [J]. BIG DATA, IOT, AND AI FOR A SMARTER FUTURE, 2021, 185 : 231 - 238
  • [7] Question-answering system
    Stupina, A. A.
    Zhukov, E. A.
    Ezhemanskaya, S. N.
    Karaseva, M. V.
    Korpacheva, L. N.
    [J]. XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN AERONAUTICS AND ASTRONAUTICS, 2016, 155
  • [8] Question-answering Semantic Search System Based on the Semantic Web
    Ma, Yuanchao
    He, Yu
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON COOPERATION AND PROMOTION OF INFORMATION RESOURCES IN SCIENCE AND TECHNOLOGY(COINFO 10), 2010, : 1 - 5
  • [9] Q ALGORITHM - SEARCH STRATEGY FOR A DEDUCTIVE QUESTION-ANSWERING SYSTEM
    MINKER, J
    FISHMAN, DH
    MCSKIMIN, JR
    [J]. ARTIFICIAL INTELLIGENCE, 1973, 4 (3-4) : 225 - 243
  • [10] Impact of text availability and question format on reading comprehension processes
    Ferrer, Antonio
    Vidal-Abarca, Eduardo
    Serrano, Maria-Angeles
    Gilabert, Ramiro
    [J]. CONTEMPORARY EDUCATIONAL PSYCHOLOGY, 2017, 51 : 404 - 415