According to different authors, computer games not only teach contents and skills, but also do so in a more efficient manner, allowing long‐lasting learning. However, there is still little consensus on this matter as different studies put their educational benefits into question, especially when used without instructional support. An empirical study was conducted to measure the effect of the educational game The Conference Interpreter on L2 vocabulary acquisition and perceived learning gains, as compared with a non‐gaming tool which replicated its contents. The results of pre‐, post‐ and delayed tests showed that students that had access to the contents via the video game performed statistically better in the short run, found the materials more appealing and believed their vocabulary skills had developed further than those in the control group. However, the regression model showed that the actual enjoyment of the game seemed to have no effect on the students' learning outcomes, neither according to their own estimation nor as determined by testing. Of greater importance seemed to be extrinsic motivation, ie, their desire to play based upon expected learning gains, prior knowledge of tested L2 vocabulary and perceived difficulty of the educational contents.

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Recent advances in Artificial Intelligence (AI) and machine learning have paved the way for the increasing adoption of chatbots in language learning. Research published to date has mostly focused on chatbot accuracy and chatbot–human communication from students’ or in-service teachers’ perspectives. This study aims to examine the knowledge, level of satisfaction and perceptions concerning the integration of conversational AI in language learning among future educators. In this mixed method research based on convenience sampling, 176 undergraduates from two educational settings, Spain (n = 115) and Poland (n = 61), interacted autonomously with three conversational agents (Replika, Kuki, Wysa) over a four-week period. A learning module about Artificial Intelligence and language learning was specifically designed for this research, including an ad hoc model named the Chatbot–Human Interaction Satisfaction Model (CHISM), which was used by teacher candidates to evaluate different linguistic and technological features of the three conversational agents. Quantitative and qualitative data were gathered through a pre-post-survey based on the CHISM and the TAM2 (technology acceptance) models and a template analysis (TA), and analyzed through IBM SPSS 22 and QDA Miner software. The analysis yielded positive results regarding perceptions concerning the integration of conversational agents in language learning, particularly in relation to perceived ease of use (PeU) and attitudes (AT), but the scores for behavioral intention (BI) were more moderate. The findings also unveiled some gender-related differences regarding participants’ satisfaction with chatbot design and topics of interaction.

A lo largo de la historia, numerosas teorías han tenido como objetivo explicar las razones que subyacen al ejercicio de la actividad lúdica. Con independencia de cualquier marco teórico, parece obvio que se juega a juegos y a videojuegos como consecuencia de que proporcionan diversión al jugador. Distintos autores sugieren que los video juegos son óptimas herramientas educativas, desde la premisa de que atraen al jugador y favorecen el proceso de aprendizaje de diversas maneras. Como consecuencia de ello, educadores y docentes han favorecido el desarrollo e implementación de determinados videojuegos en el ámbito educativo conocidos como videojuegos serios con la esperanza de que faciliten la adquisición de contenidos académicos por parte del alumnado. Sin embargo, los videojuegos tradicionales poseen unas características particulares que, a diferencia de los videojuegos serios, les convierten en herramientas atractivas ante los ojos la mayor parte del público. El presente artículo tiene como objetivo poner de relieve los aspectos que hacen de los videojuegos herramientas divertidas, al tiempo que analiza las diferentes teorías que explican la actividad lúdica y propone una definición de juego y videojuego con el objeto de identificar la peculiar idiosincrasia de los videojuegos serios.

There is a good body of literature about digital-game-based language learning (DGBL), but research has mainly focused on students as game players rather than as future educators. This paper reports on a research conducted among 154 teacher candidates at a higher-education institution in Spain regarding the adoption of digital games in education. It analyzes the participants’ knowledge of and attitudes toward digital games in foreign language learning. Quantitative and qualitative data were gathered through a pre/post-test, digital game presentations, and student blog posts. The research comprised five stages associated with critical thinking skills (definition, selection, demonstration, discussion, and reflection), including a game learning module. In the first two stages, preservice teachers completed the module activities and selected different games aimed at teaching English to children in preschool and elementary education. In the last two, they illustrated, discussed, and evaluated the digital games in class following a rubric and reflected on their perception in blog posts. In this four-week research based on a mixed method and convenience sampling, quantitative and qualitative data were gathered through a pre- and post-test survey about student perceptions toward the use of video game in the classroom, class discussion, and blog posts. Statistical data analysis unveiled gender-based differences related to gameplay frequency and genre preferences. The Wilcoxon signed-rank test was used as a nonparametric statistical hypothesis test to compare the two sets of scores resulting from the same participants, and it showed a significant difference (p ≤ 0.05) after the treatment in two of the five dimensions in the survey about teacher candidates’ attitudes toward game usage in education, namely, usefulness (U) and preference for video games (PVG). Research findings revealed preservice teachers’ positive attitudes but lack of practical knowledge about the use of digital games in foreign-language learning.

Vocabulary learning has been traditionally considered central to second language learning. It may take place either intentionally, by means of deliberate attempts to commit factual information to memory, or incidentally, as a consequence of other cognitive processes involving comprehension. Video games, which have been extensively employed in educational contexts to understand lexical development in foreign languages, foster both exposure to and the production of authentic and meaning-focused vocabulary. An empirical study was conducted to explore the effect of playing an online multiplayer social deduction game (i.e., a game in which players attempt to uncover each other’s hidden role) on incidental and intentional second language (L2) vocabulary learning. Secondary school pre-intermediate English as a Foreign Language (EFL) students (n = 54) took a vocabulary pre-test that identified eight unknown words likely to appear in the video game Among Us. Then, students were randomly assigned to different groups of players and to different learning conditions—within each group, half of the players were given a list of phrases containing such target words, which they were encouraged to meaningfully use in the game by means of written interaction. In doing so, students learnt some target words intentionally and provided contextualized incidental exposure to other players. They took a vocabulary test after two sessions of practice with the game to explore intentional and incidental L2 vocabulary learning gains. The pre- and post-tests suggested, among other results, that players using new L2 words in the game Among Us would retain more vocabulary than players only encountering them, that vocabulary intentionally input helped other users trigger incidental vocabulary learning, and that repetition had a positive effect on L2 vocabulary learning.

Although the use of Augmented Reality (AR) in language learning has increased over the last two decades, there is still little research on the preparation of pre-service teachers as AR content creators. This paper focuses on analyzing the digital competence and attitudes of teacher candidates to integrate AR in the foreign language classroom. For this purpose, eighty-five college students were assigned into different teams to create their own AR-based projects which aimed at teaching English and content to young learners. The teacher candidates employed several software development kits (SDKs) to construct collaborative AR projects in a five-week period, including discursive and illustrative representations of the learning content. In this research based on a mixed method, quantitative and qualitative data were gathered trough AR project presentations and surveys encompassing two validated scales, the Technological Pedagogical Content Knowledge (TPACK) framework and the Augmented Reality Applications Attitudes Scale (ARAAS). The statistical data and qualitative findings revealed that the participants lacked practical knowledge on AR content creation and implementation in Education. The major problems were related to the TPK (Technological Pedagogical Knowledge) intersection since participants had been previously trained in AR technology just as recipients and not as content creators and educators.

The frequency of word exposure in teaching materials, along with corrective feedback, has often been identified as a powerful variable in the learning of vocabulary in a foreign language. The effect of the number of times an action is presented as accurate in digital game-based language learning scenarios (i.e., knowledge of correct response [KCR] feedback) however remains under-investigated. This study aims to analyse the learning of L2 mobile operating system terminology by a group of students of English as a foreign language by using the data collected by the video game The Conference Interpreter in order to identify the predictive strength of term frequency (times a term is shown), KCR feedback (times a correct answer is provided), and corrective feedback (times a term is shown as incorrect) regarding short and long-term L2 vocabulary learning. The regression analysis performed showed that the factor ‘KCR feedback' may be a positive predictor of short-term vocabulary learning, whereas the other factors seemed to have no statistical effect at any significant level.