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Technical Research Assistant Course
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Technical Research Assistant Course

Master the full cycle of technical research and training development — from sourcing credible evidence to designing assessments that prove results. This course equips professionals with the analytical, writing, and instructional design skills needed to produce training that is accurate, defensible, and effective. If you research, write, or build training content for technical audiences, this is the skill set that sets you apart.

Dedika for students

What your team will master:

You will learn how to locate and critically evaluate technical sources, formulate focused research questions, and apply systematic search strategies across databases and the open web. You will develop skills in synthesising findings into structured training content, writing clear procedural and conceptual materials, and designing assessments aligned to measurable learning objectives. The course also covers AI-assisted research tools, data literacy, knowledge management, and communicating research findings to diverse stakeholders. By the end, you will be able to manage a complete research-to-training project from needs analysis through post-delivery evaluation.

How your team learns in practice Technical Research Assistant Course

How your team practises Technical Research Assistant Course

Professionals from these companies study at Dedika

ActemiumFR
Nunner LogisticsNL
GT Constructora GeotécnicaCR
Sydel StarBR
Metrô de São PauloBR
Aguas AndinasCL
DSMIN
MeridianbetRS
CDHCN

Course content

8 Chapters • 36 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Technical Research

  • Lesson 1 • What Technical Research Means

    Defines technical research and distinguishes it from general enquiry. Establishes the conceptual baseline for all subsequent research activities in the course.

  • Lesson 2 • Research Ethics and Intellectual Property

    Covers attribution norms, copyright principles, and ethical use of information. Ensures learners produce research that meets professional integrity standards.

  • Lesson 3 • Information Ecosystems and Source Types

    Maps the landscape of technical information, including databases, repositories, and gray literature. Enables learners to recognise where authoritative knowledge lives.

  • Lesson 4 • Evaluating Source Credibility

    Introduces criteria for assessing reliability, authority, and bias in sources. Directly supports accurate, defensible research outputs throughout the course.

Chapter 2See details

Formulating Effective Research Questions

  • Lesson 1 • Structuring Research Questions

    Introduces frameworks for writing focused, testable questions with clear variables. Well-structured questions directly improve search precision and output quality.

  • Lesson 2 • Mapping Research Objectives to Deliverables

    Connects each research question to a specific output format or decision. Ensures research effort translates into actionable, audience-appropriate results.

  • Lesson 3 • Anticipating Gaps and Limitations

    Prepares learners to identify likely data gaps before beginning a search. Builds resilience into the research plan and sets realistic expectations.

  • Lesson 4 • Identifying the Core Problem

    Teaches problem decomposition and root-cause framing before any search begins. Prevents wasted effort by anchoring research to the actual need.

Chapter 3See details

Search Strategy and Information Retrieval

  • Lesson 1 • Boolean Logic and Search Operators

    Teaches AND, OR, NOT, and advanced operators to control search precision and recall. Directly reduces noise and missed results in any database environment.

  • Lesson 2 • Managing and Documenting Search Processes

    Establishes habits for logging search strings, databases, and result counts. Reproducible documentation supports audit trails and collaborative research.

  • Lesson 3 • Web and Deep Web Research

    Extends search skills to open web, government portals, and institutional repositories. Captures sources not indexed in standard academic databases.

  • Lesson 4 • Iterative Search Refinement

    Teaches how to analyse initial results and adjust strategy for better coverage. Closes the loop between question formulation and retrieval performance.

  • Lesson 5 • Database-Specific Search Techniques

    Covers controlled vocabularies, thesauri, and filters unique to technical databases. Maximises retrieval accuracy within specialised information systems.

Chapter 4See details

Critical Analysis of Technical Information

  • Lesson 1 • Synthesising Findings into Key Insights

    Moves from analysis to synthesis by extracting patterns and actionable conclusions. Directly feeds the knowledge products created in later chapters.

  • Lesson 2 • Comparative Analysis Across Sources

    Develops skills for identifying agreement, contradiction, and nuance across multiple sources. Produces balanced, evidence-based conclusions rather than single-source summaries.

  • Lesson 3 • Reading Technical Documents Efficiently

    Introduces active reading strategies tailored to reports, papers, and specifications. Builds speed and comprehension without sacrificing analytical depth.

  • Lesson 4 • Assessing Methodology and Evidence Quality

    Teaches evaluation of research design, sample validity, and statistical reasoning. Prevents over-reliance on flawed studies in downstream training materials.

Chapter 5See details

Designing Training Content from Research

  • Lesson 1 • Structuring Modules and Lessons

    Teaches modular design patterns including introduction, body, and summary structures. Ensures training content is navigable and pedagogically coherent.

  • Lesson 2 • Incorporating Subject Matter Expert Input

    Establishes processes for validating content accuracy with domain experts. Ensures research-derived training reflects current professional practice.

  • Lesson 3 • Translating Research into Learning Content

    Covers techniques for converting dense technical findings into accessible instructional text. Bridges the gap between researcher output and learner-ready material.

  • Lesson 4 • Selecting Appropriate Instructional Formats

    Matches content types to delivery formats such as job aids, e-learning, and workshops. Optimises learner engagement and knowledge transfer for each context.

  • Lesson 5 • Instructional Design Fundamentals

    Introduces learning objectives, Bloom's taxonomy, and content sequencing principles. Provides the design vocabulary needed to build all subsequent training materials.

Chapter 6See details

Writing Clear Technical Training Materials

  • Lesson 1 • Structuring Explanations and Procedures

    Teaches how to write conceptual explanations and step-by-step procedural content. Ensures learners can both understand concepts and execute tasks correctly.

  • Lesson 2 • Editing and Quality Review Processes

    Establishes a multi-pass editing workflow covering accuracy, clarity, and consistency. Produces polished materials ready for stakeholder review and deployment.

  • Lesson 3 • Visual and Graphic Support for Written Content

    Integrates tables, diagrams, and callouts to reinforce written explanations. Improves retention and accessibility for diverse learner populations.

  • Lesson 4 • Writing Effective Learning Objectives

    Deepens objective-writing skills with action verbs, conditions, and performance criteria. Objectives written here drive assessment design in the next chapter.

  • Lesson 5 • Principles of Plain-Language Technical Writing

    Covers sentence structure, active voice, and vocabulary control for technical audiences. Reduces cognitive load and improves comprehension in training documents.

Chapter 7See details

Assessment Design and Knowledge Validation

  • Lesson 1 • Writing Valid Assessment Items

    Covers item construction for multiple-choice, short-answer, and practical tasks. Ensures each item measures the intended objective without construct-irrelevant variance.

  • Lesson 2 • Rubrics and Scoring Criteria

    Teaches analytic and holistic rubric design for subjective and performance tasks. Increases scoring consistency and provides learners with transparent expectations.

  • Lesson 3 • Assessment Types and Their Uses

    Surveys formative, summative, and performance-based assessment formats. Connects each type to specific measurement goals within a training programme.

  • Lesson 4 • Using Assessment Data to Improve Training

    Analyses item difficulty, discrimination, and learner performance patterns. Closes the design loop by feeding assessment results back into content revision.

Chapter 8See details

Managing and Delivering Research-Based Training

  • Lesson 1 • Maintaining and Updating Training Content

    Establishes a content review cycle tied to new research and field developments. Keeps training materials accurate, current, and aligned with evolving practice.

  • Lesson 2 • Training Needs Analysis

    Applies gap analysis methods to identify performance deficiencies addressable by training. Grounds the entire programme in verified organisational and learner needs.

  • Lesson 3 • Facilitating Research-Informed Training Sessions

    Builds facilitation skills for delivering content grounded in technical research. Ensures instructors can field questions and contextualise evidence during delivery.

  • Lesson 4 • Evaluating Training Effectiveness

    Applies multi-level evaluation models to measure reaction, learning, and behaviour change. Produces evidence that training achieved its research-derived objectives.

  • Lesson 5 • Programme Planning and Scoping

    Covers timeline, resource, and stakeholder planning for a full training programme. Translates research and design work into a manageable project plan.

Certification

Your valid completion certificate

This course is for you:

  • Training coordinators: ready to build more rigorous, evidence-backed programme content.

  • Technical writers: wanting to strengthen the research foundation behind their documentation.

  • Subject matter experts: transitioning into formal training or knowledge-transfer roles.

  • HR professionals: responsible for developing compliance or skills-based training programmes.

  • Career changers: entering instructional design from engineering, science, or IT backgrounds.

  • Independent consultants: needing a repeatable methodology to deliver credible client training.

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