[1] 胡国良, 黄美初. “5G+AI”视域下智慧学习空间的构建研究——基于开放大学的实践探索[J]. 远程教育杂志, 2020, 38(3): 95-104. (HU G L, HUANG M C. Research on the construction of smart learning space in the perspective of “5G+AI”: based on the practical exploration of open university[J]. Journal of distance education, 2020, 38(3): 95-104.)
[2] 武法提, 杨重阳, 李坦.智慧学习环境中的人机协同设计[J]. 电化教育研究, 2024, 45(2): 84-90. (WY F T, YANG C Y, LI T. Design of human-machine collaboration in smart learning environment[J]. E-education research, 2024, 45(2): 84-90.)
[3] 蔡昆.终身学习视域下智慧学习空间建设思路——以开放大学办学体系实践为例[J]. 贵州开放大学学报, 2023, 31(4): 1-6. (CAI K. Smart learning space construction ideas in the perspective of lifelong learning: taking the practice of open university system as an example[J]. Journal of Guizhou Open University, 2023, 31(4): 1-6.)
[4] 余胜泉, 毛芳.非正式学习——e-Learning研究与实践的新领域[J]. 电化教育研究, 2005(10): 19-24. (YU S Q, MAO F. Informal learning: a new field in e-learning research and practice[J]. E-education research, 2005(10): 19-24.)
[5] 张伟平, 马培峰.非正式学习中个人隐性知识的构建[J]. 湘潭师范学院学报(社会科学版), 2007(6): 175-176. (ZHANG W P, MA P F. The construction of personal tacit knowledge in informal learning[J]. Journal of Xiangtan Normal University(social science edition), 2007(6): 175-176.)
[6] 王芮.研究生的非正式学习行为调查研究[D]. 上海:上海师范大学, 2011. (WANG R. The investigation into the informal learning behavior of graduate student[D]. Shanghai: Shanghai Normal University, 2011.)
[7] 臧峰, 何京蕴.连续的学习区——激发非正式学习行为的空间设计策略[J]. 新建筑, 2023(5): 11-16. (ZANG F, HE J Y. Continuous learning zones: catalyzing informal learning through spatial design strategies[J]. New architecture, 2023(5): 11-16.)
[8] DOWNES S. New technology supporting informal learning[J]. Journal of emerging technologies in Web intelligence, 2010, 2(1): 27-33.
[9] HAGER P. Recognition of informal learning: challenges and issues[J]. Journal of vocational education and training, 1998, 50(4): 521-535.
[10] 蔡晴婷, 袁小娟, 徐佳宁, 等. 智慧校园下非正式学习空间建设现状及对策探析[J]. 湖北经济学院学报(人文社会科学版), 2023, 20(7): 62-66. (CAI Q T, YUAN X J, XU J N, et al. Analysis of the current situation and countermeasures for constructing informal learning spaces in smart campuses[J]. Journal of Hubei University of Economics (humanities and social sciences), 2023, 20(7): 62-66.)
[11] 徐沐阳.教育4.0背景下的未来校园非正式学习空间探析[J]. 建筑与文化, 2024(3): 36-38. (XU M Y. A exploration of informal learning spaces in future campus under the background of education 4.0[J]. Architecture and culture, 2024(3): 36-38.)
[12] DUGDALE S, 李苏萍.非正式学习图景的规划策略[J]. 住区, 2015(2): 8-27. (DUGDALE S, LI S P. Planning strategies for the informal learning landscape[J]. Design community, 2015(2): 8-27.)
[13] 季娇, 伍新春, 青紫馨.非正式学习:学习科学研究的生长点[J]. 北京师范大学学报(社会科学版), 2017(1): 74-82. (JI J, WU X C, QING Z X. Informal learning: a growing research field of learning sciences[J]. Journal of Beijing Normal University (social sciences), 2017(1): 74-82.)
[14] 吴颖.国内非正式学习研究的回顾与展望[J]. 河北大学成人教育学院学报, 2020, 22(1): 48-56. (WU Y. Review and prospect of informal learning research in China[J]. Journal of Adult Education College of Hebei University, 2020, 22(1): 48-56.)
[15] 许浩, 程卿玄, 董晶, 等. 人智交互中的AI世代：缘起、特征与未来展望[J]. 信息资源管理学报, 2025, 15(1): 13-20. (XU H, CHENG Q X, DONG J, et al. Generation AI in human-AI interaction: origins, characteristics and future prospects[J]. Journal of information resource management, 2025, 15(1): 13-20.)
[16] 王晰巍, 赵可轶, 刘宇桐, 等. 智能语音交互用户使用影响因素及使用行为组态分析[J]. 图书馆论坛, 2023, 43(12): 147-160. (WANG X W, ZHAO K Y, LIU Y T, et al. Configuration analysis on intelligent voice interaction: influencing factors and user behavior[J]. Library tribune, 2023, 43(12): 147-160.)
[17] HINDERKS A, SCHREPP M, MAYO F J D, et al. Developing a UX KPI based on the user experience questionnaire[J]. Computer standards & interfaces, 2019, 65: 38-44.
[18] CHENG Y, JIANG H. AI-powered mental health chatbots: examining users' motivations, active communicative action and engagement after mass-shooting disasters[J]. Journal of contingencies and crisis management, 2020, 28(3): 339-354.
[19] BATTARBEE K, KOSKINEN I. Co-experience: user experience as interaction[J]. CoDesign, 2005, 1(1): 5-18.
[20] SOUZA K E S, AVIZ I L, MELLO H D, et al. An evaluation framework for user experience using eye tracking, mouse tracking, keyboard input, and artificial intelligence: a case study[J]. International journal of human-computer interaction, 2022, 38(7): 646-660.
[21] SABUKUNZE I D, ARAKAZA A. User experience analysis on mobile application design using user experience questionnaire[J]. Indonesian journal of information systems, 2021, 4(1): 15-26.
[22] 王伟伟, 宁瑨, 魏婷.基于认知负荷的用户感知体验情感评价方法[J]. 包装工程, 2022, 43(4): 147-155. (WANG W W, NING J, WEI T. Emotional evaluation method of user perceptual experience based on the perspective of cognitive load[J]. Packaging engineering, 2022, 43(4): 147-155.)
[23] HART S G, STAVELAND L E. Development of NASA-TLX (task load index): results of empirical and theoretical research[J]. Advances in psychology, 1988, 52:139-183.
[24] RODDEN K, HUTCHINSON H, FU X. Measuring the user experience on a large scale: user-centered metrics for web applications[C]//Proceedings of the SIGCHI conference on human factors in computing systems. New York: SIGCHI, 2010:2395-2398.
[25] 张朋云.基于眼动和皮肤电信号的认知负荷测量研究[D]. 武汉:华中师范大学, 2023. (ZHANG P Y. Cognitive load measurement based on eye tracking and electrical skin signals[D]. Wuhan: Central China Normal University, 2023.)
[26] 李立睿, 张嘉程, 邓小昭.图书馆机器人服务用户体验影响机理研究[J]. 图书情报工作, 2024, 68(12): 43-55. (ZHANG L R, ZHANG J C, DENG X Z. Research on the influencing mechanism of user experience of robot services in libraries[J]. Library and information service, 2024, 68(12): 43-55.)
[27] 穆肃, 崔萌, 黄晓地.全景透视多模态学习分析的数据整合方法[J]. 现代远程教育研究, 2021, 33(1): 26-37, 48. (MU S, CUI M, HUANG X D. Data fusion method in multimodal learning analytics: from a panoramic perspective[J]. Modern distance education research, 2021, 33(1): 26-37, 48.)
[28] 陈其晖, 李诗吟, 杨劲松.虚拟社群用户学习绩效及其影响机制研究——基于自我决定动机理论[J]. 成人教育, 2024, 44(7): 41-49. (CHEN Q H, LI S Y, YANG J S. Research on learning performance of virtual community users and its influencing mechanism: based on the theory of self-determination motivation[J]. Adult education, 2024, 44(7): 41-49.)
[29] 吴丹, 刘春香.交互式信息检索研究中的眼动追踪分析[J]. 中国图书馆学报, 2019, 45(2): 109-128. (WU D, LIU C X. Eye-tracking analysis in interactive information retrieval[J]. Journal of library science in China, 2019, 45(2): 109-128.)
[30] 陈凯泉, 张春雪, 吴玥玥, 等. 教育人工智能(EAI)中的多模态学习分析、适应性反馈及人机协同[J]. 远程教育杂志, 2019, 37(5): 24-34. (CHEN K Q, ZHANG C X, WU Y Y, et al. Multi-modal learning analysis, adaptive feedback and human-computer coordination of artificial intelligence in education(EAI)[J]. Journal of distance education, 2019, 37(5): 24-34.)
[31] 苏文成, 于莹莹, 卢章平, 等. 高校图书馆用户学习与阅读行为的空间嗅觉影响机理研究[J]. 图书馆建设, 2024(2): 81-93. (SU W C, YU Y Y, LU Z P, et al. Study on the mechanism of spatial olfactory influence on learning and reading behavior of academic library users[J]. Library development, 2024(2): 81-93.)
[32] KUO Y C, YAO C B, WU C Y. A strategy for enhancing English learning achievement, based on the eye-tracking technology with self-regulated learning[J]. Sustainability, 2022, 14(23): 16286.
[33] SERRANO-MAMOLAR A, MIGUEL-ALONSO I, CHECA D, et al. Towards learner performance evaluation in iVR learning environments using eye-tracking and machine-learning[J]. Comunicar: media education research journal, 2023, 31(76): 9-19.
[34] JIAN Y C. Eye-movement patterns and reader characteristics of students with good and poor performance when reading scientific text with diagrams[J]. Reading and writing, 2017, 30(7): 1447-1472.
[35] CHETTAOUI N, ATIA A, BOUHLEL M S. Student performance prediction with eye-gaze data in embodied educational context[J]. Education and information technologies, 2023, 28(1): 833-855.
[36] 张家华, 张剑平.学习过程信息加工模型的演变与思考[J]. 电化教育研究, 2011(1): 40-43. (ZHANG J H, ZHANG J P. The evolution and reflections on the information processing model in the learning process[J]. E-education research, 2011(1): 40-43.)
[37] 郭梦瑶, 徐进波, 夏宇诚.多模态交互方式的用户接受度研究[J]. 艺术与设计(理论), 2019, 2(12): 104-106. (GUO M Y, XU J B, XIA Y C. Research on user acceptance of multimodal interaction design[J]. Art and design, 2019, 2(12): 104-106.)
[38] 谭晓艳.学习动机理论在小学数学教学中的应用策略研究[J]. 教师, 2025, (1): 71-73. (TAN X Y. Research on application strategies of learning motivation theories in elementary school mathematics teaching[J]. Teacher, 2025(1): 71-73.)
[39] 周进, 叶俊民, 李超.多模态学习情感计算：动因、框架与建议[J]. 电化教育研究, 2021, 42(7): 26-32, 46. (ZHOU J, YE J M, LI C. Multimodal learning affective computing: motivations, frameworks, and suggestions[J]. E-education research, 2021, 42(7): 26-32, 46.)
[40] 胡翰林, 冯瑞.多模态学习的研究进展与趋势：跨学科的透视[J]. 黑龙江高教研究, 2024, 42(6): 148-154. (HU H L, FENG R. Research progress and trends in multimodal learning: an interdisciplinary perspective[J]. Heilongjiang researches on higher education, 2024, 42(6): 148-154.)
[41] JACOB R J K, KARN K S. Commentary on section 4-eye tracking in human-computer interaction and usability research: ready to deliver the promises[J]. The mind’s eye, 2003, 2(3): 573-605.
[42] 陈静, 张璐.感受性视角下人智交互研究：主题挖掘、方法识别、未来发展[J]. 情报理论与实践, 2024, 47(2): 98-106. (CHEN J, ZHANG L. Human-AI interaction research from a receptivity perspective: topic classification, method identification, and future development[J]. Information studies: theory & application, 2024, 47(2): 98-106.)
[43] 苏文成, 吴君如, 于莹莹, 等. 虚拟现实场景中用户沉浸式信息检索绩效的影响因素研究[J]. 图书情报工作, 2024, 68(7): 22-35. (SU W C, WU J R, YU Y Y, et al. Study on factors influencing users’ immersive information retrieval performance in virtual reality contexts[J]. Library and information service, 2024, 68(7): 22-35.)
[44] 郑兰琴, 高蕾, 黄梓宸.基于生成式人工智能技术的对话机器人能促进在线协作学习绩效吗？[J]. 电化教育研究, 2024, 45(3): 70-76, 84. (ZHENG L Q, GAO L, HUANG Z C. Can chatbots based on generative artificial intelligence facilitate online collaborative learning performance?[J]. E-education research, 2024, 45(3): 70-76, 84.)
[45] 苏文成, 郭浩然, 卢章平, 等. 我国高校学生群体人工智能素养评价指标体系构建及实效性验证[J]. 图书馆建设, 2025(1): 94-105. (SU W C, GUO H R, LU Z P, et al. Construction of artificial intelligence literacy evaluation index system and validation of its effectiveness in China’s college and university student population[J]. Library development, 2025(1): 94-105.)
[46] 李泽. 面向在线学习场景的眼动与皮肤电信号的情感识别研究[D]. 桂林: 桂林理工大学, 2023. (LI Z. Research on emotion recognition of eye movement signals and electrodermal activity signals for online learning scenarios[D]. Guilin: Guilin University of Technology, 2023.)
[47] 陈丽先, 曾妮, 石冰, 等. Asher-McDade鼻唇评价量表的汉化及信效度初步研究[J]. 华西口腔医学杂志, 2024, 42(1): 97-103. (CHEN L X, ZENG N, SHI B, et al. Preliminary study on reliability and validity of the Chinese version of the Asher-Mc Dade aesthetic index[J]. West China journal of stomatology, 2024, 42(1): 97-103.)
[48] 赵恬, 丁妮.提升用户体验的VR眼动追踪系统：技术及应用[J]. 现代电影技术, 2024(2): 43-49. (ZHAO T, DING N. A research towards the technology and application of eye tracking system in VR for enhancing user experience[J]. Advanced motion picture technology, 2024(2): 43-49.).
[49] 陈静, 黎雅丽, 陆泉.基于眼动追踪的用户感知预测模型研究[J]. 情报理论与实践, 2022, 45(4): 154-161, 169. (CHEN J, LI Y L, LU Q. Research on user perception prediction model based on eye tracking[J]. Information studies: theory & application, 2022, 45(4): 154-161, 169.)
[50] ZAGERMANN J, PFEIL U, REITERER H. Measuring cognitive load using eye tracking technology in visual computing[C]//Proceedings of the sixth workshop on beyond time and errors on novel evaluation methods for visualization. New York: BELIV, 2016:78-85.
[51] 王晰巍, 刘宇桐, 乌吉斯古楞, 等. AI语音助手用户虚拟在线体验影响因素[J]. 图书馆论坛, 2024, 44(1): 71-85. (WANG X W, LIU Y T, WUJI S G L, et al. Research on the influencing factors of AI voice assistant user’s virtual online experience[J]. Library tribune, 2024, 44(1): 71-85.)
[52] 来元.大学英语的多模态教学与学生的学习绩效研究[J]. 淮海工学院学报(人文社会科学版), 2013, 11(15): 63-66. (LAI Y. A study of multimodal college English teaching and learning efficiency[J]. Journal of Jiangsu Ocean University(humanities & social sciences edition), 2013, 11(15): 63-66.)
[53] HENDERSON J M, FERREIRA F. Effects of foveal processing difficulty on the perceptual span in reading: implications for attention and eye movement control[J]. Journal of experimental psychology: learning, memory, and cognition, 1990(3): 417-429.
[54] PéREZ-MARíN D, PAREDES-VELASCO M, PIZARRO C. Multi-mode digital teaching and learning of human-computer interaction (HCI) using the VARK model during COVID-19[J]. Educational technology & society, 2022, 25(1): 78-91.
[55] 郭亚军, 庞义伟, 周家华, 等. ChatGPT赋能图书馆虚拟数字人：技术优势、应用场景与实践路径[J]. 图书馆论坛, 2024, 44(8): 69-79. (GUO Y J, PANG Y W, ZHOU J H, et al. ChatGPT empowers digital humans in libraries: technological advantages, application scenarios, and practical pathways[J]. Library tribune, 2024, 44(8): 69-79.)
[56] 肖自力.智慧图书馆中基于人工智能的个性化阅读推荐系统设计实施策略[J]. 兰台内外, 2024(10): 70-72. (XIAO Z L. Design and implementation strategies of AI-based personalized reading recommendation system in smart libraries[J]. Inside and outside lantai, 2024(10): 70-72.)
[57] 张鹏.生成式人工智能聊天机器人：重新定义图书馆用户服务[J]. 图书馆理论与实践, 2024(2): 123-129. (ZHANG P. Generative artificial intelligence chatbots: redefining user service in library[J]. Library theory and practice, 2024(2): 123-129.)
[58] 李颖婷.生成式人工智能给图书馆带来的机遇、挑战及应对策略[J]. 图书与情报, 2023(2): 42-48. (LI Y T. Opportunities, challenges, and strategies for libraries in the era of artificial intelligence generated content[J]. Library & information, 2023(2): 42-48.)
[59] 黄如花, 石乐怡, 江语蒙.6I未来学习中心：高校图书馆数智赋能教学科研服务新探[J]. 中国图书馆学报, 2024, 50(5): 42-58. (HUANG R H, SHI L Y, JIANG Y M. 6I learning center for the future: digital intelligence empowerment for teaching and research services in university libraries[J]. Journal of library science in China, 2024, 50(5): 42-58.)
[60] 姚跃林, 胡小蓉, 林雯萍, 等. 双减背景下人工智能服务课后学习的实践与研究[J]. 中国教育技术装备, 2024(5): 94-100. (YAO Y L, HU X R, LIN W P, et al. Practice and research on artificial intelligence services for after-school learning under the background of double reduction[J]. China educational technology & equipment, 2024(5): 94-100.)
[61] 柯和平, 龚自振, 谢海先.智慧图书馆建设中混合式智慧学习空间的构建研究[J]. 现代教育技术, 2024, 34(4): 112-121. (KE H P, GONG Z Z, XIE H X. Research on the construction of mixed smart learning space of smart library[J]. Modern educational technology, 2024, 34(4): 112-121.)
