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Objectives-based assessments refers to measuring how well students have learned with reference to three elements in predetermined instructional goals or objectives: (1) the performance (what the student must be able to do at the end of the instruction), (2) the conditions or circumstances under which this performance is to take place, and (3) the criteria for judging the quality of what the student does. The example in Table 1 illustrates the structure of an objectives-based assessment and its relationship to the instructional objective, providing a foundation for the more detailed explanation that follows. This entry first discusses the background of objectives-based assessment and how technology enables this older assessment approach to retain its relevance in more modern contexts, before detailing the structure of objectives-based assessments.

Table 1 Example of an objective and its related objective-based assessment

Objective

Objective-Based Assessment

Performance:

Complete a surgically related task that requires coordinated manipulation of the two robotic arms

Conditions:

—Given the simulator for the robot

—Given the appropriate tool(s) for the task already mounted on the arm(s)

—Given a constrained operating space

—Given a starting configuration / “shape” for each arm close to joint limits —Given pre-set motion speeds that will require adjustments for each arm

Criteria:

—Within acceptable tolerances of the robotic arms’ joint limits

—Without collision between the two arms

—Without collision between any arm and held objects

—Without collision between an arm (or what it holds) and the operating space

—Within specified time limits

—Without exceeding pressure limits

Performance:

Suture a 3-inch (7.62-cm) cut in a surgical glove

Conditions:

—Given the simulator for the robot

—Given both the needle holder tools and one threaded needle mounted

—Given a visible boundary (radius of 3 inches (7.62 cm) from the cut center

—Given a specific set of starting joint angles for arm 1 and a different set of starting joint angles for arm 2

—Given the maximum motion speed for each arm that will require adjustment

Criteria:

—Having each joint not moving any closer than 10o toward any joint limit

—Without collision between the two arms

—Without collision between any arm and the needle holders and needle

—Without collision between an arm, the needle holders/needle, and the boundary

—Task completed within 10 minutes

—Suture completed without tearing the surgical glove

Background of Objectives-Based Assessments

Objectives-based assessments have their roots in behaviorism, popular in the early- to mid-20th century, where observable and measurable behavior was considered to be the key to determining the amount and quality of learning. With this mind-set, Robert Mager outlined ways of preparing objectives to clearly define what was meant by learning in any particular area and to promote objective measurement of that learning—that is, objectives-based assessment. In the same time frame, a committee of educational psychologists developed Bloom’s taxonomy, a framework that categorizes educational objectives into progressively higher learning levels and was named after committee chairman Dr. Benjamin Bloom.

Although ideas about learning have changed, Bloom’s taxonomy, Mager’s work, and objectives-based assessments are still used in formal instructional systems design (ISD), particularly for training, where specific learning outcomes are important (e.g., multiplication tables, landing a plane). One reason for their continuing popularity stems directly from the objective and measurable evidence of learning that they provide, especially in adult training where certification and liability protection are issues. As a point of interest, this emphasis on objective and measurable behavior is also responsible for several limitations. One is the inability of objectives-based assessments to measure learning beyond the criteria used. A second is the difficulty of creating objectives for subjective learning specific to individuals (e.g., metacognitive knowledge or thinking about thinking). David Krathwohl begins to address this second limitation with his revision to Bloom’s taxonomy to include metacognitive knowledge as objective material.

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