TY - GEN
T1 - ΑI-Based Foreign Language Learning Tools Effectiveness
AU - Gkountara, Despoina N.
AU - Prasad, Ramjee
AU - Poulkov, Vladimir
AU - Manolova, Agata
AU - Tsankova, Yana
AU - Yaneva, Todora
AU - Chochliouros, Ioannis P.
AU - Lazaridis, Pavlos I.
N1 - Funding Information:
This research was partially funded by the European Union, through the Horizon 2020 Marie Sk\u0142odowska-Curie RISE Programme \u201CResearch Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)\u201D under grant agreement no. 872857, and through the National Recovery and Resilience Plan of the Republic of Bulgaria, BG-RRP-2.005-\"Twinning\" with Project No. BG-RRP-2.005\u2013002 titled \"Twinning for Excellence in Research in Sustainable Future Communication Networks in the Context of a Green Economy \u2013 GREEN-BEAT\". We would also like to acknowledge the support of Singular Logic, Greece, and specifically that of Dr Stamatia Rizou.
Publisher Copyright:
© IFIP International Federation for Information Processing 2025.
PY - 2025/6/26
Y1 - 2025/6/26
N2 - In this survey several studies are presented on foreign language learning assisted by AI-based tools/chatbots in a classroom setting, mostly using 5G-enabled smartphones. The focus of these studies is the qualitative and quantitative assessment of the effectiveness of the tools. Pre-tests and post-tests are frequently used to quantitatively assess student improvement with and without the use of AI-tools in several areas of language learning (vocabulary, grammar, syntax, listening, speaking, writing, etc.). A control student group is used in many cases as a baseline for assessing improvement. Furthermore, a qualitative questionnaire is filled in by the students in most of the studies to assess the strengths and weaknesses of the tools from the perspective of the users. It is found that the use of AI-based tools leads to significant improvement in learning progress.
AB - In this survey several studies are presented on foreign language learning assisted by AI-based tools/chatbots in a classroom setting, mostly using 5G-enabled smartphones. The focus of these studies is the qualitative and quantitative assessment of the effectiveness of the tools. Pre-tests and post-tests are frequently used to quantitatively assess student improvement with and without the use of AI-tools in several areas of language learning (vocabulary, grammar, syntax, listening, speaking, writing, etc.). A control student group is used in many cases as a baseline for assessing improvement. Furthermore, a qualitative questionnaire is filled in by the students in most of the studies to assess the strengths and weaknesses of the tools from the perspective of the users. It is found that the use of AI-based tools leads to significant improvement in learning progress.
KW - Adaptive Learning
KW - Artificial intelligence
KW - Chatbots
KW - ChatGPT
KW - Duolingo
KW - Foreign Language Learning
KW - IELTS
KW - Intelligent Computer-Assisted Language Learning
KW - Machine Learning
KW - Memrise
UR - https://www.scopus.com/pages/publications/105010038346
UR - https://link.springer.com/book/10.1007/978-3-031-97317-8
U2 - 10.1007/978-3-031-97317-8_3
DO - 10.1007/978-3-031-97317-8_3
M3 - Conference contribution
AN - SCOPUS:105010038346
SN - 9783031973161
SN - 9783031973192
T3 - IFIP Advances in Information and Communication Technology
SP - 37
EP - 44
BT - Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops
A2 - Papaleonidas, Antonios
A2 - Pimenidis, Elias
A2 - Papadopoulos, Harris
A2 - Chochliouros, Ioannis
PB - Springer, Cham
T2 - 14th Workshop on Mining Humanistic Data, MHDW 2025, 10th Workshop on B5G-Putting Intelligence to the Network Edge, BG5-PINE 2025, 2nd Workshop on AI Applications for Achieving the Green Deal Targets, AI4GD 2025, 1st Workshop on SilverTech: Empowering the Future of Ageing Through Advanced AI-Based Technologies, SilverTech 2025 and 5th Workshop on AI and Ethics, 2025, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025
Y2 - 26 June 2025 through 29 June 2025
ER -
