A free academic textbook for EFL university students. Explore how digital technologies connect with language learning, teaching, and communication.
Foundations of Digital Language Learning and Teaching: For EFL University Students
Publication year: 2026
Edition: First Edition, Version 1
Project Director: Prof. Munassir Alhamami
Branch: Applied Linguistics
Series: English Language Studies for EFL University Students
DOI: https://doi.org/10.5281/zenodo.22968623
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Read the textbook chapter alongside the video lesson or podcast. Use the chapter’s explanations, worked examples, Practice and Apply tasks, Short Quiz, and Answers and Explanations to check your understanding.
The short overviews and plain-English topic explanations below are simplified study support. Return to the textbook for full definitions, evidence, examples, and limitations.
Chapter titles and topic headings retain the textbook’s wording. Overviews and plain-English explanations are separate study support.
Textbook: pp. 14–26
Overview: simplified study support
Digital language learning connects tools with learners, tasks, and teaching decisions. Begin with the language activity and judge what the available evidence supports, rather than treating a digital feature as a learning benefit.
Watch Chapter 1 · Listen to Chapter 1
Five core topics
1.1 The Scope of Digital Language Learning and Teaching
In plain English: Examine how people, instructions, language, and digital resources work together within an activity.
1.2 From Recorded Media to Connected Learning
In plain English: Distinguish analog recordings, digital media, and connected activities when describing the development of technology use.
1.3 Tools, Resources, Platforms, and Environments
In plain English: Identify the functions of tools, learning resources, platforms, and the wider environment in which they are used.
1.4 Affordances, Constraints, and Pedagogical Choices
In plain English: Consider what a feature makes possible, what limits its use, and what guidance learners need.
1.5 Learning Claims and Types of Evidence
In plain English: Separate access, enjoyment, participation, and performance, and use evidence that matches the specific claim.
Textbook: pp. 27–38
Overview: simplified study support
Learning principles help explain what students need to do during a digital activity. Connect attention, memory, input, interaction, feedback, and supported participation with an explicit learning purpose.
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Five core topics
2.1 Practice, Memory, and Attention
In plain English: Distinguish recognizing an answer from retrieving it, and consider how practice directs attention and supports review.
2.2 Input, Noticing, and Comprehension
In plain English: Separate exposure to language from noticing its features and understanding its message.
2.3 Interaction, Output, and Feedback
In plain English: Examine opportunities to produce language, clarify meaning, and respond to useful feedback.
2.4 Social Learning, Scaffolding, and Participation
In plain English: Consider how people and resources provide support that helps learners participate and develop understanding.
2.5 Connecting Learning Principles to Digital Pedagogy
In plain English: Use learning perspectives to justify the activity and its teaching arrangement, rather than choosing technology first.
Textbook: pp. 39–50
Overview: simplified study support
Learners differ in their goals, experience, access, and ways of participating. Examine those conditions alongside the skills and decisions needed to study responsibly in digital environments.
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Five core topics
3.1 Learner Goals, Needs, and Prior Experience
In plain English: Identify the language abilities learners want to develop and the gaps or conditions relevant to those goals.
3.2 Autonomy and Self-Regulated Learning
In plain English: Help learners set purposes, monitor difficulties, and adjust their choices with informed control.
3.3 Information and Multimodal Literacies
In plain English: Evaluate information and interpret combinations of text, image, sound, and layout instead of relying on polished appearance.
3.4 Digital Identity and Participation
In plain English: Consider how learners present themselves across audiences, languages, purposes, and online communities.
3.5 Motivation, Engagement, and Digital Well-Being
In plain English: Distinguish willingness, visible involvement, and learning, while considering routines and conditions that support well-being.
Textbook: pp. 51–62
Overview: simplified study support
A useful resource must fit the learners, goal, and teaching conditions. Compare accuracy, usability, access, permissions, and cost before a small trial and a reasoned decision.
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Five core topics
4.1 Learning Goals, Learners, and Pedagogical Fit
In plain English: Judge the match between the intended language practice and what the resource can support in this setting.
4.2 Accuracy, Evidence, and Usability
In plain English: Check explanations, examples, answers, and ease of use, and examine the evidence behind claims of quality.
4.3 Access, Accessibility, and Cost
In plain English: Distinguish obtaining a resource from being able to perceive, navigate, understand, and use it under actual conditions.
4.4 Privacy, Permissions, and Open Licenses
In plain English: Check what information participation requires and what permissions govern the use or adaptation of materials.
4.5 Comparing, Piloting, and Reviewing Resources
In plain English: Compare relevant options, test their essential functions, and review the decision in the intended context.
Textbook: pp. 63–74
Overview: simplified study support
Online and blended study require a clear sequence of activities and support. Separate delivery arrangements from teaching methods, and connect work across different times and learning spaces.
Watch Chapter 5 · Listen to Chapter 5
Five core topics
5.1 Online, Blended, and Flipped Learning
In plain English: Describe how classroom and online work are arranged without assuming that the arrangement determines the teaching method.
5.2 Synchronous and Asynchronous Learning
In plain English: Distinguish interaction at the same time from participation at different times, and plan appropriate support for each.
5.3 Learning Management Systems and Course Organization
In plain English: Organize materials, communication, activities, and submissions so learners can understand the course pathway.
5.4 Teacher Presence and Learner Support
In plain English: Make guidance and response visible through purposeful organization and interaction, with clear expectations about support.
5.5 Coherence and Continuity across Learning Spaces
In plain English: Connect the stages of study so learning can continue meaningfully across places, times, and changing conditions.
Textbook: pp. 75–86
Overview: simplified study support
Online communication can provide opportunities to use and clarify language. Design connected exchanges and shared work with clear purposes, respectful participation, and educational support.
Watch Chapter 6 · Listen to Chapter 6
Five core topics
6.1 Computer-Mediated Communication
In plain English: Describe communication through digital text, audio, video, or combined modes, whether participants are near or far apart.
6.2 Interaction and Negotiation of Meaning
In plain English: Examine sequences of messages to understand how participants clarify difficulties and respond to one another.
6.3 Collaborative Language Learning
In plain English: Create opportunities for shared decisions and responses to others' contributions, beyond dividing work into independent parts.
6.4 Virtual Exchange and Intercultural Learning
In plain English: Plan sustained interaction across contexts with explicit tasks, purposes, and support, while avoiding broad cultural assumptions.
6.5 Pragmatics and Respectful Online Participation
In plain English: Interpret wording in relation to audience, purpose, and relationships, and make participation expectations clear.
Textbook: pp. 87–99
Overview: simplified study support
Everyday digital activity can be connected with purposeful language study. Examine what learners do across places and communities, then develop realistic routines with clear goals and ways to review progress.
Watch Chapter 7 · Listen to Chapter 7
Five core topics
7.1 Mobile Learning across Contexts
In plain English: Consider learners' activities and changing physical and social conditions, as well as the mobile device itself.
7.2 Apps, Short Practice, and Spaced Review
In plain English: Evaluate the learning action within an application and connect short practice with purposeful review.
7.3 Social Media and Online Communities
In plain English: Look for continuing exchanges and shared expectations rather than treating a follower list as a learning community.
7.4 Informal and Self-Directed Learning
In plain English: Distinguish study outside formal course requirements from the learner's decisions about goals, resources, and methods.
7.5 Managing Everyday Learning Routines
In plain English: Build manageable routines that fit responsibilities, available access, and the language goal.
Textbook: pp. 100–112
Overview: simplified study support
Digital practice and reference resources can help learners investigate vocabulary and grammar. Connect forms with meaning and use, and check patterns against suitable examples and the limits of the data.
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Five core topics
8.1 Vocabulary Knowledge and Digital Practice
In plain English: Plan work on word form, meaning, and use, without assuming that success with one aspect establishes complete knowledge.
8.2 Grammar in Context
In plain English: Connect grammatical forms with what speakers or writers need to communicate in a situation.
8.3 Dictionaries and Language Reference Resources
In plain English: Choose a dictionary or reference source for the specific question and check the information it actually provides.
8.4 Corpora and Concordance Lines
In plain English: Examine what a language collection contains and read search results with their surrounding context.
8.5 Guided Data-Driven Learning
In plain English: Guide learners to compare examples, propose an explanation, and test it against further language evidence.
Textbook: pp. 113–124
Overview: simplified study support
Digital reading and listening support should serve comprehension. Select suitable input, use controls and annotations purposefully, and check interpretations against the written or spoken message.
Watch Chapter 9 · Listen to Chapter 9
Five core topics
9.1 Selecting Texts and Audio for Comprehension
In plain English: Choose input in relation to the learners and the interpretation required by the task.
9.2 Digital Reading and Annotation
In plain English: Use searching, annotation, scrolling, and links to support a reading purpose while maintaining connections among ideas.
9.3 Digital Listening and Audio Control
In plain English: Use replay, pause, and other controls to inspect a specific difficulty rather than repeat a recording without a clear purpose.
9.4 Captions, Transcripts, and Multimodal Support
In plain English: Check what captions, transcripts, and other modes represent, including their accuracy and accessibility functions.
9.5 Comprehension Monitoring and Integrated Input
In plain English: Identify what is understood, what remains uncertain, and which evidence supports or challenges an interpretation.
Textbook: pp. 125–136
Overview: simplified study support
Digital speaking work should support understandable, purposeful communication. Connect rehearsal, interaction, and feedback with the listener's needs, and interpret automated outputs as limited evidence.
Watch Chapter 10 · Listen to Chapter 10
Five core topics
10.1 Speaking Goals and Oral Task Demands
In plain English: Define what learners need to communicate, to whom, and under which task conditions.
10.2 Recording, Rehearsal, and Self-Reflection
In plain English: Review a recording for a focused aspect of communication and use the observations to guide another attempt.
10.3 Online Conversation and Spoken Interaction
In plain English: Plan for responses, clarification, timing, and connection conditions during spoken online interaction.
10.4 Pronunciation and Intelligibility
In plain English: Relate work on sounds, stress, and intonation to understanding and participation rather than imitation of one ideal voice.
10.5 Speech Recognition and Automated Feedback
In plain English: Treat a speech recognition transcript as a system estimate, and investigate errors before drawing conclusions about the speaker.
Textbook: pp. 137–149
Overview: simplified study support
Digital writing tools can support planning, shared work, and revision. Keep the writer's purpose and responsibility central, and evaluate feedback before deciding what to change.
Watch Chapter 11 · Listen to Chapter 11
Five core topics
11.1 Writing Processes in Digital Environments
In plain English: Connect digital functions with the decisions involved in planning, drafting, and revising a purposeful text.
11.2 Collaborative Writing and Peer Response
In plain English: Organize shared decisions, responsibility, and responses to the text, rather than relying on a shared document alone.
11.3 Automated Writing Support
In plain English: Distinguish spelling, grammar, style, content feedback, and generated replacement text when judging support.
11.4 Responding to Feedback and Revising
In plain English: Evaluate advice, justify revisions, and retain informed control over the final message.
11.5 Digital Genres and Multimodal Composition
In plain English: Examine audience expectations and how wording and other modes work together in the intended kind of communication.
Textbook: pp. 150–162
Overview: simplified study support
Artificial intelligence offers several kinds of language support that require different judgments. Define the learning purpose, check important outputs, and retain human responsibility for meaning, authorship, and use.
Watch Chapter 12 · Listen to Chapter 12
Five core topics
12.1 AI and Generative Language Tools
In plain English: Distinguish systems that recognize, classify, or generate content instead of treating all artificial intelligence tools as equivalent.
12.2 Conversational Practice and Prompting
In plain English: Give the system a specific learning purpose, relevant context, and clear expectations for the exchange.
12.3 Machine Translation and Multilingual Use
In plain English: Use translation output as material to evaluate in context, rather than assuming that languages match expression by expression.
12.4 Checking Accuracy, Bias, and Language Coverage
In plain English: Verify factual claims and examine uneven performance, unsupported content, and possible bias using appropriate evidence.
12.5 Human Agency, Authorship, and Responsible Use
In plain English: Keep people responsible for purposes, checking, decisions, and disclosure, with enough understanding to exercise meaningful oversight.
Textbook: pp. 163–175
Overview: simplified study support
Digital assessment should provide evidence that supports a specific judgment about language ability. Align tasks, criteria, and conditions, and examine fairness, accessibility, and the limits of automated scoring.
Watch Chapter 13 · Listen to Chapter 13
Five core topics
13.1 Assessment Purposes and Digital Formats
In plain English: State the purpose of the assessment and what evidence the chosen digital task can provide.
13.2 Validity, Reliability, and Fairness
In plain English: Define the intended ability and consider whether the interpretation is supported, consistent, and fair for the learners.
13.3 Classroom Evidence, Rubrics, and Portfolios
In plain English: Use clear performance criteria and relevant examples or collected work to support judgments and feedback.
13.4 Automated Scoring and Adaptive Assessment
In plain English: Check the evidence supporting automated scores and adaptive task choices for the intended learners and uses.
13.5 Integrity, Accessibility, and Assessment Conditions
In plain English: Clarify permitted assistance and provide conditions that support honest participation and meaningful access.
Textbook: pp. 176–188
Overview: simplified study support
A digital task begins with a recognizable language need and an intended outcome. Connect stages, materials, support, and evidence, then use a small pilot to identify practical problems and guide revision.
Watch Chapter 14 · Listen to Chapter 14
Five core topics
14.1 Needs, Outcomes, and Communicative Task Goals
In plain English: Identify a specific language use and gather relevant evidence about what learners need to do.
14.2 Task Sequences and Scaffolding
In plain English: Give each stage a clear purpose and provide support that prepares learners for meaningful language use.
14.3 Adapting Open and Multimodal Materials
In plain English: Check accuracy, relevance, permissions, access, and learner demands before adapting existing materials.
14.4 Games, Gamification, and Immersive Tasks
In plain English: Distinguish games, game elements, and immersive arrangements, and judge the language activity within them.
14.5 Piloting Tasks and Evaluating the Design
In plain English: Use a small trial to examine instructions, timing, materials, and evidence without treating it as proof of learning effects.
Textbook: pp. 189–202
Overview: simplified study support
Responsible digital teaching combines practical skill with informed judgment and institutional support. Review evidence with colleagues and learners, address barriers, and adapt decisions as conditions change.
Watch Chapter 15 · Listen to Chapter 15
Five core topics
15.1 Teacher Digital Competence
In plain English: Connect operational skills with appropriate teaching choices, information protection, and fair interpretation of evidence.
15.2 Inclusive and Multilingual Teaching
In plain English: Plan participation for varied linguistic and access conditions, and listen to learners about barriers that may not be visible.
15.3 Institutional Policies and Support
In plain English: Identify relevant institutional responsibilities and seek support from the people authorized to address them.
15.4 Professional Collaboration and Development
In plain English: Work with colleagues on specific teaching problems, shared materials, and evidence from practice.
15.5 Reviewing Evidence and Adapting to Change
In plain English: Review what learners did, what the evidence supports, and what remains uncertain before deciding on a change.
Foundations of Digital Language Learning and Teaching: For EFL University Students
Prof. Munassir Alhamami · 2026 · First Edition, Version 1
Suggested citation
Alhamami, M. (2026). Foundations of digital language learning and teaching: For EFL university students (First Edition, Version 1). Zenodo. https://doi.org/10.5281/zenodo.22968623
License
Original textbook content is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0), except where otherwise indicated. Material credited to other sources remains subject to its stated terms.
AI development assistance
The textbook discloses development assistance from ChatGPT, Claude, Gemini, and NotebookLM.
Chapter media disclosure
The chapter videos and podcasts were generated with Google NotebookLM using the textbook as their source. Narration and conversation voices are AI-generated, not recordings of the author. The original NotebookLM videos and audio are preserved unchanged; podcast audio is presented with a static textbook-cover image.
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