PPTELL 2024:

Impactful Technologies and Computer-Assisted Language Learning 

Call for Proposals

Topics of interest include, but are not limited to:

   PPTELL 2024 sincerely invites abstract submissions that shows originality based on theoretical or practical works focusing on global connectivity in technology-enhanced language learning with the following topics related to the theme—Impactful Technologies and Language Learning, but are not limited to:

• Collaboration between Technological Industries and CALL/TELL researchers 

• Second language acquisition theories and technology-enhanced language learning 

• Technologies for multilingual and multiliteracy development

• Technologies for intercultural learning and communication

• Technologies and language teaching in early years education

• Technologies integration into EMI 

• Technologies and ESP courses

• Technologies and Language Teacher Education

  • Teacher identity and believes

• Approaches and methods to researching technologies-enhanced language learning 

• Technologies and language assessment

• Technologies for Equitable Language Education

• Multimodality and technology-enhanced language learning/teaching

• The sustainability of impactful technologies

  • Artificial Intelligence (AI)

    • Adaptive learning systems for customized content and recommendations.

    • Chatbots and virtual tutors powered by AI for real-time assistance.

  • Online Learning Platforms:

    • How online learning platforms, such as Coursera, edX, and Khan Academy, enable learners to access education from anywhere with an internet connection and their effects on language learning.

  • Virtual Reality (VR) and Augmented Reality (AR):

    • How VR and AR technologies make learning more engaging and interactive for language learners.​

  • Gamification:

    • Educational games and apps and their effects on motivating students to achieve learning objectives

  • Mobile Learning:

    • The use of mobile apps and responsive websites for learners to access educational content on the go.

  • Open Educational Resources (OER):

    • freely accessible educational materials and its impact on language learning.

  • Cloud Computing:

    • Cloud-based platforms facilitate collaborative learning, document sharing, and remote access to educational resources.

  • Big Data and Learning Analytics:

    • Using data and learning analytics to track student progress, identify at-risk students, and optimize curriculum and teaching methods for better outcomes.

  • Natural Language Processing (NLP):

    • NLP technologies power language learning apps and tools that can provide instant feedback on language proficiency, grammar, and pronunciation.

  • Machine Learning and Predictive Analytics:

    • Machine learning algorithms can analyze large datasets to identify patterns and trends in education, helping educators make data-driven decisions to improve student performance.

  • Video Conferencing and Collaboration Tools:

    • Tools, such as Zoom and Microsoft Teams, have become essential for remote and hybrid learning, enabling real-time interaction between teachers and students and facilitating group projects.

​​​​​​Types of presentations

The PPTELL 2024 conference features three types of presentations. 

● Oral presentation:  

The presentations should report on original research related to TELL. The duration of a presentation is 20 minutes, including time for discussion. 

● Poster presentation:  

Presentations should contain images and information that attendees can read and which can be explained by the presenters. The duration of a poster session is one hour. Presenters should be present for the duration of their scheduled time. 

● Technology Showcase:  

Technology showcase focuses on hands-on demonstrations of original creative works. Its presentations take place in an informal setting—all presenters in the room present simultaneously while attendees may approach to discuss topics individually. The Showcase lasts for 1 hour. 

Submission Guidelines:

    A submitted abstract is restricted to 500 words. The due date for abstract submission is January 21st, 2024. Authors will receive the notification with reviewers' comments by February 29th, 2024. Abstracts should be submitted in both MS Word and PDF formats online to Upload abstract (in PDF version / MS Word version). Please sign up to the system and upload your abstract following the instructions provided. Please note that this Upload abstract link does NOT connect to the conference registration system. This means that you would have signed up twice with the same username and password. We apologize for the inconvenience that this may have caused.

    Prior to submission, please read and follow the conference templates (PDF version / MS Word version) carefully. Submissions must not be published previously. All the submissions will be double-blind peer-reviewed. The review will focus on whether the work is original and of good quality through theoretical and empirical methods.